diff --git a/test/nn/simplicial/test_dist2cycle.py b/test/nn/simplicial/test_dist2cycle.py index d7a96005..216e582e 100644 --- a/test/nn/simplicial/test_dist2cycle.py +++ b/test/nn/simplicial/test_dist2cycle.py @@ -1,7 +1,8 @@ """Unit tests for Dist2Cycke Model.""" + import numpy as np +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.dist2cycle import Dist2Cycle @@ -15,7 +16,7 @@ def test_forward(self): face_set = [[2, 3, 4], [2, 4, 5]] torch.manual_seed(42) - simplicial_complex = SimplicialComplex(edge_set + face_set) + simplicial_complex = tnx.SimplicialComplex(edge_set + face_set) laplacian_down_1 = simplicial_complex.down_laplacian_matrix(rank=1).todense() adjacency_1 = simplicial_complex.adjacency_matrix(rank=1).todense() laplacian_down_1_inv = np.linalg.pinv( diff --git a/test/nn/simplicial/test_hsn.py b/test/nn/simplicial/test_hsn.py index 0ed83c9b..1eb549ac 100644 --- a/test/nn/simplicial/test_hsn.py +++ b/test/nn/simplicial/test_hsn.py @@ -1,7 +1,8 @@ """Unit tests for HSN Model.""" + import numpy as np +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.hsn import HSN @@ -15,7 +16,7 @@ def test_forward(self): face_set = [[2, 3, 4], [2, 4, 5]] torch.manual_seed(42) - simplicial_complex = SimplicialComplex(edge_set + face_set) + simplicial_complex = tnx.SimplicialComplex(edge_set + face_set) laplacian_down_1 = simplicial_complex.down_laplacian_matrix(rank=1).todense() adjacency_1 = simplicial_complex.adjacency_matrix(rank=1).todense() laplacian_down_1_inv = np.linalg.pinv( diff --git a/test/nn/simplicial/test_san.py b/test/nn/simplicial/test_san.py index d99c613e..855c195d 100644 --- a/test/nn/simplicial/test_san.py +++ b/test/nn/simplicial/test_san.py @@ -1,9 +1,10 @@ """Unit tests for SAN Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.san import SAN from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) x_1 = torch.randn(35, 2) diff --git a/test/nn/simplicial/test_sca_cmps.py b/test/nn/simplicial/test_sca_cmps.py index 448d039d..8789039c 100644 --- a/test/nn/simplicial/test_sca_cmps.py +++ b/test/nn/simplicial/test_sca_cmps.py @@ -1,9 +1,10 @@ """Unit tests for SCA Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.sca_cmps import SCACMPS from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) diff --git a/test/nn/simplicial/test_sccn.py b/test/nn/simplicial/test_sccn.py index 17800356..ed47dacd 100644 --- a/test/nn/simplicial/test_sccn.py +++ b/test/nn/simplicial/test_sccn.py @@ -1,9 +1,10 @@ """Unit tests for SCCN Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.sccn import SCCN from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) diff --git a/test/nn/simplicial/test_sccnn.py b/test/nn/simplicial/test_sccnn.py index 6a67e1b6..086a0fac 100644 --- a/test/nn/simplicial/test_sccnn.py +++ b/test/nn/simplicial/test_sccnn.py @@ -1,9 +1,10 @@ """Unit tests for SCCNN Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.sccnn import SCCNN from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) # Some nodes might not be selected at all in the combinations above diff --git a/test/nn/simplicial/test_scconv.py b/test/nn/simplicial/test_scconv.py index a1034933..baa48d66 100644 --- a/test/nn/simplicial/test_scconv.py +++ b/test/nn/simplicial/test_scconv.py @@ -1,9 +1,10 @@ """Unit tests for SCCNN Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.scconv import SCConv from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) # Some nodes might not be selected at all in the combinations above diff --git a/test/nn/simplicial/test_scn2.py b/test/nn/simplicial/test_scn2.py index 6e56bf65..e3a8b8a1 100644 --- a/test/nn/simplicial/test_scn2.py +++ b/test/nn/simplicial/test_scn2.py @@ -1,9 +1,10 @@ """Unit tests for SCN2 Model.""" + import itertools import random +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.scn2 import SCN2 from topomodelx.utils.sparse import from_sparse @@ -28,7 +29,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) diff --git a/test/nn/simplicial/test_scnn.py b/test/nn/simplicial/test_scnn.py index d0edc632..51a4f4bf 100644 --- a/test/nn/simplicial/test_scnn.py +++ b/test/nn/simplicial/test_scnn.py @@ -1,10 +1,11 @@ """Unit tests for SCNN Model.""" + import itertools import random import numpy as np +import toponetx as tnx import torch -from toponetx.classes import SimplicialComplex from topomodelx.nn.simplicial.scnn import SCNN from topomodelx.utils.sparse import from_sparse @@ -29,7 +30,7 @@ def test_forward(self): ) random.shuffle(all_combinations) selected_combinations = all_combinations[:faces] - simplicial_complex = SimplicialComplex() + simplicial_complex = tnx.SimplicialComplex() for simplex in selected_combinations: simplicial_complex.add_simplex(simplex) x_1 = torch.randn(simplicial_complex.shape[1], 2) diff --git a/topomodelx/nn/simplicial/scone.py b/topomodelx/nn/simplicial/scone.py index 11c1d1af..bc533eaa 100644 --- a/topomodelx/nn/simplicial/scone.py +++ b/topomodelx/nn/simplicial/scone.py @@ -1,12 +1,13 @@ """Neural network implementation of classification using SCoNe.""" + import random from itertools import product import networkx as nx import numpy as np +import toponetx as tnx import torch from scipy.spatial import Delaunay, distance -from toponetx.classes.simplicial_complex import SimplicialComplex from torch import nn from torch.utils.data.dataset import Dataset @@ -15,7 +16,7 @@ def generate_complex( N: int = 100, *, rng: np.random.Generator | None = None -) -> tuple[SimplicialComplex, np.ndarray]: +) -> tuple[tnx.SimplicialComplex, np.ndarray]: """Generate a simplicial complex as described. Generate a simplicial complex of dimension 2 as follows: @@ -58,13 +59,13 @@ def generate_complex( for j in range(3): simplices[i][j] = idx_dict[simplices[i][j]] - sc = SimplicialComplex(simplices) + sc = tnx.SimplicialComplex(simplices) coords = points[list(indices_included)] return sc, coords def generate_trajectories( - sc: SimplicialComplex, coords: np.ndarray, n_max: int = 1000 + sc: tnx.SimplicialComplex, coords: np.ndarray, n_max: int = 1000 ) -> list[list[int]]: """Generate trajectories from nodes in the lower left corner to the upper right corner connected through a node in the middle.""" # Get indices for start points in the lower left corner, mid points in the center region and end points in the upper right corner. @@ -98,7 +99,9 @@ def generate_trajectories( class TrajectoriesDataset(Dataset): """Create a dataset of trajectories.""" - def __init__(self, sc: SimplicialComplex, trajectories: list[list[int]]) -> None: + def __init__( + self, sc: tnx.SimplicialComplex, trajectories: list[list[int]] + ) -> None: self.trajectories = trajectories self.sc = sc self.adjacency = torch.Tensor(sc.adjacency_matrix(0).toarray()) diff --git a/tutorials/cell/can_train.ipynb b/tutorials/cell/can_train.ipynb index 0cc2cd63..a73a4e6c 100644 --- a/tutorials/cell/can_train.ipynb +++ b/tutorials/cell/can_train.ipynb @@ -112,23 +112,11 @@ }, "metadata": {} }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "import numpy as np\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", - "from toponetx.classes.cell_complex import CellComplex\n", "from torch_geometric.datasets import TUDataset\n", "from torch_geometric.utils.convert import to_networkx\n", "\n", @@ -136,7 +124,8 @@ "from topomodelx.utils.sparse import from_sparse\n", "\n", "torch.manual_seed(0)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -155,19 +144,11 @@ }, "metadata": {} }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -196,18 +177,6 @@ }, "metadata": {} }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Data(edge_index=[2, 36], x=[16, 7], edge_attr=[36, 4], y=[1])\n", - "Features on nodes for the 0th cell complex: torch.Size([17, 7]).\n", - "Features on edges for the 0th cell complex: torch.Size([38, 4]).\n", - "Label of 0th cell complex: 1.\n" - ] - } - ], "source": [ "dataset = TUDataset(\n", " root=\"/tmp/MUTAG\", name=\"MUTAG\", use_edge_attr=True, use_node_attr=True\n", @@ -218,7 +187,7 @@ "x_1_list = []\n", "y_list = []\n", "for graph in dataset:\n", - " cell_complex = CellComplex(to_networkx(graph))\n", + " cell_complex = tnx.CellComplex(to_networkx(graph))\n", " cc_list.append(cell_complex)\n", " x_0_list.append(graph.x)\n", " x_1_list.append(graph.edge_attr)\n", @@ -230,7 +199,8 @@ "print(f\"Features on nodes for the {i_cc}th cell complex: {x_0_list[i_cc].shape}.\")\n", "print(f\"Features on edges for the {i_cc}th cell complex: {x_1_list[i_cc].shape}.\")\n", "print(f\"Label of {i_cc}th cell complex: {y_list[i_cc]}.\")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -255,7 +225,6 @@ }, "metadata": {} }, - "outputs": [], "source": [ "down_laplacian_list = []\n", "up_laplacian_list = []\n", @@ -280,7 +249,8 @@ " up_laplacian_t = torch.from_numpy(up_laplacian_t).to_sparse()\n", "\n", " up_laplacian_list.append(up_laplacian_t)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -297,7 +267,6 @@ "metadata": { "metadata": {} }, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(\n", @@ -331,7 +300,8 @@ " # Feed-Foward Neural Network to predict the graph label\n", " out = self.lin_1(torch.nn.functional.relu(self.lin_0(x)))\n", " return torch.sigmoid(out)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -343,7 +313,6 @@ }, "metadata": {} }, - "outputs": [], "source": [ "in_channels_0 = x_0_list[0].shape[-1]\n", "in_channels_1 = x_1_list[0].shape[-1]\n", @@ -363,7 +332,8 @@ " att_lift=True,\n", ")\n", "model = model.to(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -384,57 +354,12 @@ }, "metadata": {} }, - "outputs": [ - { - "data": { - "text/plain": [ - "Network(\n", - " (base_model): CAN(\n", - " (lift_layer): MultiHeadLiftLayer(\n", - " (lifts): LiftLayer()\n", - " )\n", - " (layers): ModuleList(\n", - " (0): CANLayer(\n", - " (lower_att): MultiHeadCellAttention(\n", - " (att_activation): LeakyReLU(negative_slope=0.2)\n", - " (lin): Linear(in_features=11, out_features=32, bias=False)\n", - " )\n", - " (upper_att): MultiHeadCellAttention(\n", - " (att_activation): LeakyReLU(negative_slope=0.2)\n", - " (lin): Linear(in_features=11, out_features=32, bias=False)\n", - " )\n", - " (lin): Linear(in_features=11, out_features=32, bias=False)\n", - " (aggregation): Aggregation()\n", - " )\n", - " (1): CANLayer(\n", - " (lower_att): MultiHeadCellAttention(\n", - " (att_activation): LeakyReLU(negative_slope=0.2)\n", - " (lin): Linear(in_features=32, out_features=32, bias=False)\n", - " )\n", - " (upper_att): MultiHeadCellAttention(\n", - " (att_activation): LeakyReLU(negative_slope=0.2)\n", - " (lin): Linear(in_features=32, out_features=32, bias=False)\n", - " )\n", - " (lin): Linear(in_features=32, out_features=32, bias=False)\n", - " (aggregation): Aggregation()\n", - " )\n", - " )\n", - " )\n", - " (lin_0): Linear(in_features=32, out_features=128, bias=True)\n", - " (lin_1): Linear(in_features=128, out_features=2, bias=True)\n", - ")" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "crit = torch.nn.CrossEntropyLoss()\n", "opt = torch.optim.Adam(model.parameters(), lr=0.001)\n", "model" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -453,7 +378,6 @@ }, "metadata": {} }, - "outputs": [], "source": [ "test_size = 0.3\n", "x_1_train, x_1_test = train_test_split(x_1_list, test_size=test_size, shuffle=False)\n", @@ -468,7 +392,8 @@ " adjacency_0_list, test_size=test_size, shuffle=False\n", ")\n", "y_train, y_test = train_test_split(y_list, test_size=test_size, shuffle=False)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -487,34 +412,6 @@ }, "metadata": {} }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch: 1 loss: 0.6330 Train_acc: 0.6718\n", - "Test_acc: 0.5965\n", - "Epoch: 2 loss: 0.6116 Train_acc: 0.6947\n", - "Test_acc: 0.5965\n", - "Epoch: 3 loss: 0.6071 Train_acc: 0.6947\n", - "Test_acc: 0.5965\n", - "Epoch: 4 loss: 0.6027 Train_acc: 0.6947\n", - "Test_acc: 0.5965\n", - "Epoch: 5 loss: 0.5974 Train_acc: 0.7099\n", - "Test_acc: 0.6491\n", - "Epoch: 6 loss: 0.5911 Train_acc: 0.7252\n", - "Test_acc: 0.6491\n", - "Epoch: 7 loss: 0.5979 Train_acc: 0.7176\n", - "Test_acc: 0.6140\n", - "Epoch: 8 loss: 0.5826 Train_acc: 0.7252\n", - "Test_acc: 0.6316\n", - "Epoch: 9 loss: 0.5908 Train_acc: 0.7252\n", - "Test_acc: 0.6316\n", - "Epoch: 10 loss: 0.5839 Train_acc: 0.7252\n", - "Test_acc: 0.6316\n" - ] - } - ], "source": [ "test_interval = 1\n", "num_epochs = 10\n", @@ -580,14 +477,15 @@ " num_samples += 1\n", " test_acc = correct / num_samples\n", " print(f\"Test_acc: {test_acc:.4f}\", flush=True)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], - "source": [] + "source": [], + "outputs": [] } ], "metadata": { diff --git a/tutorials/cell/ccxn_train.ipynb b/tutorials/cell/ccxn_train.ipynb index a58c1d41..9ee39d08 100644 --- a/tutorials/cell/ccxn_train.ipynb +++ b/tutorials/cell/ccxn_train.ipynb @@ -55,10 +55,9 @@ "start_time": "2023-05-31T09:06:34.285257706Z" } }, - "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -69,7 +68,8 @@ "\n", "%load_ext autoreload\n", "%autoreload 2" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -87,19 +87,11 @@ "start_time": "2023-05-31T09:13:52.963074076Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -120,19 +112,8 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading shrec 16 small dataset...\n", - "\n", - "done!\n" - ] - } - ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", @@ -141,23 +122,13 @@ "\n", "ys = shrec[\"label\"]\n", "simplexes = shrec[\"complexes\"]" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 6th simplicial complex has 252 nodes with features of dimension 6.\n", - "The 6th simplicial complex has 750 edges with features of dimension 10.\n", - "The 6th simplicial complex has 500 faces with features of dimension 7.\n" - ] - } - ], "source": [ "i_complex = 6\n", "print(\n", @@ -169,7 +140,8 @@ "print(\n", " f\"The {i_complex}th simplicial complex has {x_2s[i_complex].shape[0]} faces with features of dimension {x_2s[i_complex].shape[1]}.\"\n", ")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -186,7 +158,6 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [], "source": [ "cc_list = []\n", "incidence_2_t_list = []\n", @@ -201,7 +172,8 @@ " adjacency_0 = from_sparse(adjacency_0)\n", " incidence_2_t_list.append(incidence_2_t)\n", " adjacency_0_list.append(adjacency_0)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -212,16 +184,6 @@ "start_time": "2023-05-31T09:13:55.815448708Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 6th cell complex has an incidence_2_t matrix of shape torch.Size([500, 750]).\n", - "The 6th cell complex has an adjacency_0 matrix of shape torch.Size([252, 252]).\n" - ] - } - ], "source": [ "i_complex = 6\n", "print(\n", @@ -230,7 +192,8 @@ "print(\n", " f\"The {i_complex}th cell complex has an adjacency_0 matrix of shape {adjacency_0_list[i_complex].shape}.\"\n", ")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -245,7 +208,6 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(\n", @@ -287,7 +249,8 @@ " + one_dimensional_cells_mean\n", " + zero_dimensional_cells_mean\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -298,15 +261,6 @@ "start_time": "2023-05-31T09:13:56.667986426Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The dimension of input features on nodes, edges and faces are: 6, 10 and 5.\n" - ] - } - ], "source": [ "in_channels_0 = x_0s[0].shape[-1]\n", "in_channels_1 = x_1s[0].shape[-1]\n", @@ -317,39 +271,17 @@ ")\n", "model = Network(in_channels_0, in_channels_1, in_channels_2, num_classes, n_layers=2)\n", "model = model.to(device)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Network(\n", - " (base_model): CCXN(\n", - " (layers): ModuleList(\n", - " (0-1): 2 x CCXNLayer(\n", - " (conv_0_to_0): Conv()\n", - " (conv_1_to_2): Conv()\n", - " )\n", - " )\n", - " )\n", - " (lin_0): Linear(in_features=6, out_features=2, bias=True)\n", - " (lin_1): Linear(in_features=10, out_features=2, bias=True)\n", - " (lin_2): Linear(in_features=5, out_features=2, bias=True)\n", - ")" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "model" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -369,12 +301,12 @@ "start_time": "2023-05-31T09:19:40.408861921Z" } }, - "outputs": [], "source": [ "crit = torch.nn.CrossEntropyLoss()\n", "opt = torch.optim.Adam(model.parameters(), lr=0.01)\n", "loss_fn = torch.nn.MSELoss()" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -392,7 +324,6 @@ "start_time": "2023-05-31T09:19:41.146986990Z" } }, - "outputs": [], "source": [ "test_size = 0.2\n", "x_0_train, x_0_test = train_test_split(x_0s, test_size=test_size, shuffle=False)\n", @@ -404,7 +335,8 @@ " adjacency_0_list, test_size=test_size, shuffle=False\n", ")\n", "y_train, y_test = train_test_split(ys, test_size=test_size, shuffle=False)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -422,33 +354,6 @@ "start_time": "2023-05-31T09:19:42.114801039Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch:2, Train Loss: 83.8803 Test Loss: 72.8717\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/gbg141/Documents/Projects/TopoModelX/venv_tmx/lib/python3.11/site-packages/torch/nn/modules/loss.py:536: UserWarning: Using a target size (torch.Size([])) that is different to the input size (torch.Size([2])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n", - " return F.mse_loss(input, target, reduction=self.reduction)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch:4, Train Loss: 80.8463 Test Loss: 74.7231\n", - "Epoch:6, Train Loss: 77.9684 Test Loss: 75.5384\n", - "Epoch:8, Train Loss: 75.5704 Test Loss: 76.0005\n", - "Epoch:10, Train Loss: 73.3453 Test Loss: 78.1194\n" - ] - } - ], "source": [ "test_interval = 2\n", "num_epochs = 10\n", @@ -505,7 +410,8 @@ " f\"Epoch:{epoch_i}, Train Loss: {train_mean_loss:.4f} Test Loss: {test_loss:.4f}\",\n", " flush=True,\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -530,7 +436,6 @@ "start_time": "2023-05-31T09:20:01.303035409Z" } }, - "outputs": [], "source": [ "model = Network(\n", " in_channels_0, in_channels_1, in_channels_2, num_classes, n_layers=2, att=True\n", @@ -539,7 +444,8 @@ "crit = torch.nn.CrossEntropyLoss()\n", "opt = torch.optim.Adam(model.parameters(), lr=0.01)\n", "loss_fn = torch.nn.MSELoss()" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -564,19 +470,6 @@ "start_time": "2023-05-31T09:21:56.886478285Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch:2, Train Loss: 86.7494 Test Loss: 81.5152\n", - "Epoch:4, Train Loss: 79.9747 Test Loss: 85.7426\n", - "Epoch:6, Train Loss: 76.6452 Test Loss: 89.2596\n", - "Epoch:8, Train Loss: 74.2124 Test Loss: 88.7206\n", - "Epoch:10, Train Loss: 72.5803 Test Loss: 87.3506\n" - ] - } - ], "source": [ "test_interval = 2\n", "num_epochs = 10\n", @@ -633,14 +526,15 @@ " f\"Epoch:{epoch_i}, Train Loss: {train_mean_loss:.4f} Test Loss: {test_loss:.4f}\",\n", " flush=True,\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], - "source": [] + "source": [], + "outputs": [] } ], "metadata": { diff --git a/tutorials/cell/cwn_train.ipynb b/tutorials/cell/cwn_train.ipynb index 2eb9b991..f9d749c1 100644 --- a/tutorials/cell/cwn_train.ipynb +++ b/tutorials/cell/cwn_train.ipynb @@ -52,21 +52,9 @@ }, "id": "h-kcMSPGNH1v" }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -74,7 +62,8 @@ "from topomodelx.utils.sparse import from_sparse\n", "\n", "torch.manual_seed(0)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -99,19 +88,11 @@ "id": "v9Vct-axNH1y", "outputId": "99dddc1a-e0e8-4644-d2b8-21b1fc62c2cd" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -140,19 +121,8 @@ "id": "VEkEnk3XNH11", "outputId": "270b0d6f-0caa-4951-d829-fa496b9842e1" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading shrec 16 small dataset...\n", - "\n", - "done!\n" - ] - } - ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", @@ -161,7 +131,8 @@ "\n", "ys = shrec[\"label\"]\n", "simplexes = shrec[\"complexes\"]" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -173,17 +144,6 @@ "id": "ximOSpO0NH12", "outputId": "0de63af4-75b9-4ec2-d863-14b8c46f9efb" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 6th simplicial complex has 252 nodes with features of dimension 6.\n", - "The 6th simplicial complex has 750 edges with features of dimension 10.\n", - "The 6th simplicial complex has 500 faces with features of dimension 7.\n" - ] - } - ], "source": [ "i_complex = 6\n", "print(\n", @@ -198,7 +158,8 @@ " f\"The {i_complex}th simplicial complex has {x_2s[i_complex].shape[0]} faces \"\n", " f\"with features of dimension {x_2s[i_complex].shape[1]}.\"\n", ")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -219,7 +180,6 @@ "metadata": { "id": "-JwXTU8FNH13" }, - "outputs": [], "source": [ "cc_list = []\n", "incidence_2_list = []\n", @@ -241,7 +201,8 @@ " incidence_2_list.append(incidence_2)\n", " adjacency_1_list.append(adjacency_1)\n", " incidence_1_t_list.append(incidence_1_t)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -257,17 +218,6 @@ "id": "4s6EISEdNH14", "outputId": "736a4960-da74-42ab-d0dd-cc9f57dc9c12" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 6th cell complex has an adjacency_1 matrix of shape torch.Size([750, 750]).\n", - "The 6th cell complex has an incidence_2 matrix of shape torch.Size([750, 500]).\n", - "The 6th cell complex has an incidence_1_t matrix of shape torch.Size([750, 252]).\n" - ] - } - ], "source": [ "i_complex = 6\n", "\n", @@ -283,7 +233,8 @@ " f\"The {i_complex}th cell complex has an incidence_1_t matrix \"\n", " f\"of shape {incidence_1_t_list[i_complex].shape}.\"\n", ")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -300,7 +251,6 @@ "cell_type": "code", "execution_count": 7, "metadata": {}, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(\n", @@ -356,7 +306,8 @@ " + one_dimensional_cells_mean\n", " + zero_dimensional_cells_mean\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -372,15 +323,6 @@ "id": "lJi03cUINH15", "outputId": "da159ed1-7d4b-4635-b690-12e5c3aac16d" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The dimensions of input features on nodes, edges and faces are 6, 10 and 7, respectively.\n" - ] - } - ], "source": [ "in_channels_0 = x_0s[0].shape[-1]\n", "in_channels_1 = x_1s[0].shape[-1]\n", @@ -399,7 +341,8 @@ " n_layers=2,\n", ")\n", "model = model.to(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -422,11 +365,11 @@ }, "id": "YFC6ZicmNH17" }, - "outputs": [], "source": [ "optimizer = torch.optim.Adam(model.parameters(), lr=0.01)\n", "criterion = torch.nn.MSELoss()" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -447,7 +390,6 @@ }, "id": "msAKrXJANH17" }, - "outputs": [], "source": [ "test_size = 0.2\n", "\n", @@ -466,7 +408,8 @@ ")\n", "\n", "y_train, y_test = train_test_split(ys, test_size=test_size, shuffle=False)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -498,19 +441,6 @@ "id": "UT-pR2atNH18", "outputId": "8e506805-8aa7-482a-8c66-9708a41478ac" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch:2, Train Loss: 83.8053 Test Loss: 73.7517\n", - "Epoch:4, Train Loss: 81.9551 Test Loss: 50.2781\n", - "Epoch:6, Train Loss: 78.3991 Test Loss: 49.9035\n", - "Epoch:8, Train Loss: 75.8110 Test Loss: 45.7197\n", - "Epoch:10, Train Loss: 74.3838 Test Loss: 40.5566\n" - ] - } - ], "source": [ "test_interval = 2\n", "num_epochs = 10\n", @@ -577,14 +507,15 @@ " f\"Epoch:{epoch_i}, Train Loss: {train_mean_loss:.4f} Test Loss: {test_loss:.4f}\",\n", " flush=True,\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], - "source": [] + "source": [], + "outputs": [] } ], "metadata": { diff --git a/tutorials/combinatorial/hmc_train.ipynb b/tutorials/combinatorial/hmc_train.ipynb index 14d464fa..78c2f971 100644 --- a/tutorials/combinatorial/hmc_train.ipynb +++ b/tutorials/combinatorial/hmc_train.ipynb @@ -130,15 +130,15 @@ "start_time": "2023-08-24T06:49:24.987368726Z" } }, - "outputs": [], "source": [ "import numpy as np\n", + "import toponetx as tnx\n", "import torch\n", - "from toponetx.datasets.mesh import shrec_16\n", "from torch.utils.data import DataLoader, Dataset\n", "\n", "from topomodelx.nn.combinatorial.hmc import HMC" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -151,19 +151,11 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -185,7 +177,6 @@ "start_time": "2023-08-24T06:49:28.753170327Z" } }, - "outputs": [], "source": [ "class SHRECDataset(Dataset):\n", " \"\"\"Class for the SHREC 2016 dataset.\n", @@ -304,7 +295,8 @@ " self.b2[idx],\n", " self.y[idx],\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -326,20 +318,8 @@ "outputs_hidden": false } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading shrec 16 full dataset...\n", - "\n", - "done!\n" - ] - } - ], - "source": [ - "shrec_training, shrec_testing = shrec_16()" - ] + "source": "shrec_training, shrec_testing = tnx.datasets.shrec_16()", + "outputs": [] }, { "cell_type": "markdown", @@ -357,11 +337,11 @@ "start_time": "2023-08-24T06:49:31.440777885Z" } }, - "outputs": [], "source": [ "training_dataset = SHRECDataset(shrec_training)\n", "training_dataloader = DataLoader(training_dataset, batch_size=1, shuffle=True)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -379,11 +359,11 @@ "start_time": "2023-08-24T06:55:02.115686839Z" } }, - "outputs": [], "source": [ "testing_dataset = SHRECDataset(shrec_testing)\n", "testing_dataloader = DataLoader(testing_dataset, batch_size=1, shuffle=True)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -433,7 +413,6 @@ "outputs_hidden": false } }, - "outputs": [], "source": [ "class Trainer:\n", " \"\"\"Trainer for the HOANMeshClassifier.\n", @@ -603,7 +582,8 @@ " y = sample[-1][0].long().to(self.device)\n", " correct += (y_hat.argmax() == y).sum().item()\n", " return correct / test_samples" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -616,7 +596,6 @@ "cell_type": "code", "execution_count": 8, "metadata": {}, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(\n", @@ -665,7 +644,8 @@ " x_2 = torch.nanmean(x_2, dim=0)\n", "\n", " return x_0 + x_1 + x_2" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -692,7 +672,6 @@ "outputs_hidden": false } }, - "outputs": [], "source": [ "in_channels = training_dataset.channels_dim()\n", "intermediate_channels = [60, 60, 60]\n", @@ -708,58 +687,17 @@ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "\n", "trainer = Trainer(model, training_dataloader, testing_dataloader, 0.001, device)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Network(\n", - " (base_model): HMC(\n", - " (layers): ModuleList(\n", - " (0): HMCLayer(\n", - " (hbs_0_level1): HBS(\n", - " (weight): ParameterList( (0): Parameter containing: [torch.float32 of size 6x60])\n", - " (att_weight): ParameterList( (0): Parameter containing: [torch.float32 of size 120x1])\n", - " )\n", - " (hbns_0_1_level1): HBNS()\n", - " (hbns_1_2_level1): HBNS()\n", - " (hbs_0_level2): HBS(\n", - " (weight): ParameterList( (0): Parameter containing: [torch.float32 of size 60x60])\n", - " (att_weight): ParameterList( (0): Parameter containing: [torch.float32 of size 120x1])\n", - " )\n", - " (hbns_0_1_level2): HBNS()\n", - " (hbs_1_level2): HBS(\n", - " (weight): ParameterList( (0): Parameter containing: [torch.float32 of size 60x60])\n", - " (att_weight): ParameterList( (0): Parameter containing: [torch.float32 of size 120x1])\n", - " )\n", - " (hbns_1_2_level2): HBNS()\n", - " (hbs_2_level2): HBS(\n", - " (weight): ParameterList( (0): Parameter containing: [torch.float32 of size 60x60])\n", - " (att_weight): ParameterList( (0): Parameter containing: [torch.float32 of size 120x1])\n", - " )\n", - " (aggr): Aggregation()\n", - " )\n", - " )\n", - " )\n", - " (l0): Linear(in_features=60, out_features=30, bias=True)\n", - " (l1): Linear(in_features=60, out_features=30, bias=True)\n", - " (l2): Linear(in_features=60, out_features=30, bias=True)\n", - ")" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "model" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -781,35 +719,10 @@ "outputs_hidden": false } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/gbg141/Documents/Projects/TopoModelX/topomodelx/nn/combinatorial/hmc_layer.py:683: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)\n", - " A_p = torch.sparse.mm(A_p, neighborhood)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch: 0 loss: 3.5569 Train_acc: 0.0292\n", - "Test_acc: 0.0667\n", - "Epoch: 1 loss: 3.2807 Train_acc: 0.0688\n", - "Test_acc: 0.1583\n", - "Epoch: 2 loss: 2.9899 Train_acc: 0.1125\n", - "Test_acc: 0.1417\n", - "Epoch: 3 loss: 2.6567 Train_acc: 0.1792\n", - "Test_acc: 0.1583\n", - "Epoch: 4 loss: 2.3474 Train_acc: 0.2583\n", - "Test_acc: 0.3250\n" - ] - } - ], "source": [ "trainer.train(num_epochs=5, test_interval=1)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -831,10 +744,10 @@ "outputs_hidden": false } }, - "outputs": [], "source": [ "# trainer.train(num_epochs=30, test_interval=10)" - ] + ], + "outputs": [] } ], "metadata": { diff --git a/tutorials/hypergraph/dhgcn_train.ipynb b/tutorials/hypergraph/dhgcn_train.ipynb index cf629929..a15d0a74 100644 --- a/tutorials/hypergraph/dhgcn_train.ipynb +++ b/tutorials/hypergraph/dhgcn_train.ipynb @@ -22,7 +22,7 @@ "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -98,7 +98,7 @@ } ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.mesh.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", diff --git a/tutorials/hypergraph/hypergat_train.ipynb b/tutorials/hypergraph/hypergat_train.ipynb index d0e7f881..cc7bdf59 100644 --- a/tutorials/hypergraph/hypergat_train.ipynb +++ b/tutorials/hypergraph/hypergat_train.ipynb @@ -55,7 +55,7 @@ "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -112,7 +112,7 @@ } ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", diff --git a/tutorials/hypergraph/unigcn_train.ipynb b/tutorials/hypergraph/unigcn_train.ipynb index 54aafc77..40c55387 100644 --- a/tutorials/hypergraph/unigcn_train.ipynb +++ b/tutorials/hypergraph/unigcn_train.ipynb @@ -7,9 +7,9 @@ "metadata": {}, "outputs": [], "source": [ + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", - "from toponetx.classes.simplicial_complex import SimplicialComplex\n", "from torch_geometric.datasets import TUDataset\n", "from torch_geometric.utils.convert import to_networkx\n", "\n", @@ -83,7 +83,7 @@ "x_1_list = []\n", "y_list = []\n", "for graph in dataset:\n", - " hg = SimplicialComplex(to_networkx(graph)).to_hypergraph()\n", + " hg = tnx.SimplicialComplex(to_networkx(graph)).to_hypergraph()\n", " hg_list.append(hg)\n", " x_1_list.append(graph.x.to(device))\n", " y_list.append(graph.y.to(device))\n", diff --git a/tutorials/hypergraph/unigin_train.ipynb b/tutorials/hypergraph/unigin_train.ipynb index 559df1fe..b8293db8 100644 --- a/tutorials/hypergraph/unigin_train.ipynb +++ b/tutorials/hypergraph/unigin_train.ipynb @@ -6,9 +6,9 @@ "metadata": {}, "outputs": [], "source": [ + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", - "from toponetx.classes.simplicial_complex import SimplicialComplex\n", "from torch_geometric.datasets import TUDataset\n", "from torch_geometric.utils.convert import to_networkx\n", "\n", @@ -78,7 +78,7 @@ "x_1_list = []\n", "y_list = []\n", "for graph in dataset:\n", - " hg = SimplicialComplex(to_networkx(graph)).to_hypergraph()\n", + " hg = tnx.SimplicialComplex(to_networkx(graph)).to_hypergraph()\n", " hg_list.append(hg)\n", " x_1_list.append(graph.x.to(device))\n", " y_list.append(graph.y.to(device))\n", diff --git a/tutorials/simplicial/dist2cycle_train.ipynb b/tutorials/simplicial/dist2cycle_train.ipynb index 0e39a8db..94c85ef7 100644 --- a/tutorials/simplicial/dist2cycle_train.ipynb +++ b/tutorials/simplicial/dist2cycle_train.ipynb @@ -34,7 +34,7 @@ "source": [ "import numpy as np\n", "import numpy.linalg as npla\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "\n", "from topomodelx.nn.simplicial.dist2cycle import Dist2Cycle\n", @@ -72,7 +72,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)" ] }, diff --git a/tutorials/simplicial/hsn_train.ipynb b/tutorials/simplicial/hsn_train.ipynb index f8ae367b..5c6fdc96 100644 --- a/tutorials/simplicial/hsn_train.ipynb +++ b/tutorials/simplicial/hsn_train.ipynb @@ -38,7 +38,7 @@ "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "\n", "from topomodelx.nn.simplicial.hsn import HSN\n", @@ -75,7 +75,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)" ] }, diff --git a/tutorials/simplicial/san_train.ipynb b/tutorials/simplicial/san_train.ipynb index f06209da..290d440e 100644 --- a/tutorials/simplicial/san_train.ipynb +++ b/tutorials/simplicial/san_train.ipynb @@ -86,7 +86,7 @@ ], "source": [ "import numpy as np\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "\n", "from topomodelx.nn.simplicial.san import SAN\n", @@ -149,7 +149,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)" ] }, diff --git a/tutorials/simplicial/sca_cmps_train.ipynb b/tutorials/simplicial/sca_cmps_train.ipynb index 085ddb1e..343cf5a4 100644 --- a/tutorials/simplicial/sca_cmps_train.ipynb +++ b/tutorials/simplicial/sca_cmps_train.ipynb @@ -38,7 +38,7 @@ ], "source": [ "import numpy as np\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "\n", "from topomodelx.nn.simplicial.sca_cmps import SCACMPS\n", @@ -100,7 +100,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)" ] }, diff --git a/tutorials/simplicial/sccn_train.ipynb b/tutorials/simplicial/sccn_train.ipynb index 6bce969c..e12635c1 100644 --- a/tutorials/simplicial/sccn_train.ipynb +++ b/tutorials/simplicial/sccn_train.ipynb @@ -40,7 +40,7 @@ "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "\n", "from topomodelx.nn.simplicial.sccn import SCCN\n", @@ -79,7 +79,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\", feat_dim=2)\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\", feat_dim=2)\n", "print(dataset)" ] }, diff --git a/tutorials/simplicial/sccnn_train.ipynb b/tutorials/simplicial/sccnn_train.ipynb index 43506207..27c14178 100644 --- a/tutorials/simplicial/sccnn_train.ipynb +++ b/tutorials/simplicial/sccnn_train.ipynb @@ -73,7 +73,7 @@ ], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -112,7 +112,7 @@ } ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", "x_1s = shrec[\"edge_feat\"]\n", @@ -499,8 +499,6 @@ } ], "source": [ - "import toponetx.datasets.graph as graph\n", - "\n", "%load_ext autoreload\n", "%autoreload 2" ] @@ -533,7 +531,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)\n", "max_rank = dataset.dim\n", "print(max_rank)" diff --git a/tutorials/simplicial/scconv_train.ipynb b/tutorials/simplicial/scconv_train.ipynb index cca34b9a..8964a0c1 100644 --- a/tutorials/simplicial/scconv_train.ipynb +++ b/tutorials/simplicial/scconv_train.ipynb @@ -62,19 +62,9 @@ "metadata": { "id": "ZNrtWfL10pEe" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], "source": [ "import numpy as np\n", - "import toponetx.datasets.graph as graph\n", + "import toponetx as tnx\n", "import torch\n", "from scipy.sparse import coo_matrix, diags\n", "\n", @@ -83,7 +73,8 @@ "\n", "%load_ext autoreload\n", "%autoreload 2" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -92,19 +83,11 @@ "id": "Z05cyYcw0pEh", "outputId": "0ba2482b-dc68-451b-95bd-d2ea97e04378" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -128,19 +111,11 @@ "id": "BreEb4B00pEi", "outputId": "fed8fb52-16b7-418e-812c-7f29bf32de1c" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Simplicial Complex with shape (34, 78, 45, 11, 2) and dimension 4\n" - ] - } - ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)" - ] + ], + "outputs": [] }, { "cell_type": "code", @@ -149,21 +124,10 @@ "id": "fdT4Zjsp0pEi", "outputId": "054e2a94-3503-421d-d10c-8a9ceb21cce9" }, - "outputs": [ - { - "data": { - "text/plain": [ - "(34, 78, 45, 11, 2)" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "dataset.shape" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -186,7 +150,6 @@ "cell_type": "code", "execution_count": 56, "metadata": {}, - "outputs": [], "source": [ "# Not working, it needs to be reviewed\n", "def normalize_higher_order_adj(A_opt):\n", @@ -205,13 +168,13 @@ " A_opt_to = A_opt.dot(r_mat_inv_sqrt).transpose().dot(r_mat_inv_sqrt)\n", "\n", " return coo_matrix(A_opt_to)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, - "outputs": [], "source": [ "incidence_1_norm = incidence_0_1 = from_sparse(dataset.incidence_matrix(1))\n", "incidence_1 = incidence_1_0 = from_sparse(dataset.coincidence_matrix(1))\n", @@ -221,7 +184,8 @@ "adjacency_up_1_norm = adjacency_1_up = from_sparse(dataset.up_laplacian_matrix(1))\n", "adjacency_down_1_norm = adjacency_1_down = from_sparse(dataset.down_laplacian_matrix(1))\n", "adjacency_down_2_norm = adjacency_2 = from_sparse(dataset.down_laplacian_matrix(2))" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -241,17 +205,6 @@ "id": "EBf26K5N0pEj", "outputId": "22acb245-384f-4d62-9e59-b55bdea3353e" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "There are 34 nodes with features of dimension 2.\n", - "There are 78 edges with features of dimension 2.\n", - "There are 45 faces with features of dimension 2.\n" - ] - } - ], "source": [ "x_0 = list(dataset.get_simplex_attributes(\"node_feat\").values())\n", "x_0 = torch.tensor(np.stack(x_0))\n", @@ -265,7 +218,8 @@ "x_2 = list(dataset.get_simplex_attributes(\"face_feat\").values())\n", "x_2 = torch.tensor(np.stack(x_2))\n", "print(f\"There are {x_2.shape[0]} faces with features of dimension {x_2.shape[1]}.\")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -282,11 +236,11 @@ "metadata": { "id": "cS7o2U620pEl" }, - "outputs": [], "source": [ "in_channels = x_0.shape[-1]\n", "out_channels = 2" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -306,7 +260,6 @@ "metadata": { "id": "Ub-GWaMm0pEl" }, - "outputs": [], "source": [ "y = np.array(\n", " [\n", @@ -354,7 +307,8 @@ "\n", "y_train = torch.from_numpy(y_train)\n", "y_test = torch.from_numpy(y_test)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -371,7 +325,6 @@ "cell_type": "code", "execution_count": 99, "metadata": {}, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(self, in_channels, out_channels, n_layers=1):\n", @@ -415,13 +368,13 @@ " x_1 = self.linear_x1(x_1)\n", " x_2 = self.linear_x2(x_2)\n", " return torch.softmax(x_0, dim=1)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, - "outputs": [], "source": [ "n_layers = 1\n", "model = Network(\n", @@ -430,7 +383,8 @@ " n_layers=n_layers,\n", ")\n", "optimizer = torch.optim.Adam(model.parameters(), lr=0.1)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -457,240 +411,6 @@ "id": "sWopn2U60pEn", "outputId": "a2153bef-91eb-4f99-8aad-3166b4966c26" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch: 1 loss: 0.7134 Train_acc: 0.5667\n", - "Epoch: 2 loss: 0.7133 Train_acc: 0.5667\n", - "Epoch: 3 loss: 0.7132 Train_acc: 0.5667\n", - "Epoch: 4 loss: 0.7131 Train_acc: 0.5667\n", - "Epoch: 5 loss: 0.7128 Train_acc: 0.5667\n", - "Epoch: 6 loss: 0.7125 Train_acc: 0.5667\n", - "Epoch: 7 loss: 0.7120 Train_acc: 0.5667\n", - "Epoch: 8 loss: 0.7117 Train_acc: 0.5667\n", - "Epoch: 9 loss: 0.7113 Train_acc: 0.5667\n", - "Epoch: 10 loss: 0.7109 Train_acc: 0.5667\n", - "Test_acc: 0.0000\n", - "Epoch: 11 loss: 0.7105 Train_acc: 0.5667\n", - "Epoch: 12 loss: 0.7099 Train_acc: 0.5667\n", - "Epoch: 13 loss: 0.7093 Train_acc: 0.5667\n", - "Epoch: 14 loss: 0.7086 Train_acc: 0.5667\n", - "Epoch: 15 loss: 0.7079 Train_acc: 0.5667\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch: 16 loss: 0.7070 Train_acc: 0.5667\n", - "Epoch: 17 loss: 0.7062 Train_acc: 0.5667\n", - "Epoch: 18 loss: 0.7052 Train_acc: 0.5667\n", - "Epoch: 19 loss: 0.7042 Train_acc: 0.5667\n", - 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"Epoch: 140 loss: 0.5386 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 141 loss: 0.5384 Train_acc: 0.9667\n", - "Epoch: 142 loss: 0.5383 Train_acc: 0.9667\n", - "Epoch: 143 loss: 0.5381 Train_acc: 0.9667\n", - "Epoch: 144 loss: 0.5379 Train_acc: 0.9667\n", - "Epoch: 145 loss: 0.5378 Train_acc: 0.9667\n", - "Epoch: 146 loss: 0.5376 Train_acc: 0.9667\n", - "Epoch: 147 loss: 0.5374 Train_acc: 0.9667\n", - "Epoch: 148 loss: 0.5373 Train_acc: 0.9667\n", - "Epoch: 149 loss: 0.5371 Train_acc: 0.9667\n", - "Epoch: 150 loss: 0.5370 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 151 loss: 0.5369 Train_acc: 0.9667\n", - "Epoch: 152 loss: 0.5367 Train_acc: 0.9667\n", - "Epoch: 153 loss: 0.5366 Train_acc: 0.9667\n", - "Epoch: 154 loss: 0.5364 Train_acc: 0.9667\n", - "Epoch: 155 loss: 0.5363 Train_acc: 0.9667\n", - "Epoch: 156 loss: 0.5362 Train_acc: 0.9667\n", - "Epoch: 157 loss: 0.5361 Train_acc: 0.9667\n", - "Epoch: 158 loss: 0.5359 Train_acc: 0.9667\n", - "Epoch: 159 loss: 0.5358 Train_acc: 0.9667\n", - "Epoch: 160 loss: 0.5357 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 161 loss: 0.5356 Train_acc: 0.9667\n", - "Epoch: 162 loss: 0.5355 Train_acc: 0.9667\n", - "Epoch: 163 loss: 0.5354 Train_acc: 0.9667\n", - "Epoch: 164 loss: 0.5352 Train_acc: 0.9667\n", - "Epoch: 165 loss: 0.5351 Train_acc: 0.9667\n", - "Epoch: 166 loss: 0.5350 Train_acc: 0.9667\n", - "Epoch: 167 loss: 0.5349 Train_acc: 0.9667\n", - "Epoch: 168 loss: 0.5348 Train_acc: 0.9667\n", - "Epoch: 169 loss: 0.5347 Train_acc: 0.9667\n", - "Epoch: 170 loss: 0.5346 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 171 loss: 0.5345 Train_acc: 0.9667\n", - "Epoch: 172 loss: 0.5344 Train_acc: 0.9667\n", - "Epoch: 173 loss: 0.5343 Train_acc: 0.9667\n", - "Epoch: 174 loss: 0.5342 Train_acc: 0.9667\n", - "Epoch: 175 loss: 0.5341 Train_acc: 0.9667\n", - "Epoch: 176 loss: 0.5341 Train_acc: 0.9667\n", - "Epoch: 177 loss: 0.5340 Train_acc: 0.9667\n", - "Epoch: 178 loss: 0.5339 Train_acc: 0.9667\n", - "Epoch: 179 loss: 0.5338 Train_acc: 0.9667\n", - "Epoch: 180 loss: 0.5337 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 181 loss: 0.5336 Train_acc: 0.9667\n", - "Epoch: 182 loss: 0.5335 Train_acc: 0.9667\n", - "Epoch: 183 loss: 0.5335 Train_acc: 0.9667\n", - "Epoch: 184 loss: 0.5334 Train_acc: 0.9667\n", - "Epoch: 185 loss: 0.5333 Train_acc: 0.9667\n", - "Epoch: 186 loss: 0.5332 Train_acc: 0.9667\n", - "Epoch: 187 loss: 0.5332 Train_acc: 0.9667\n", - "Epoch: 188 loss: 0.5331 Train_acc: 0.9667\n", - "Epoch: 189 loss: 0.5330 Train_acc: 0.9667\n", - "Epoch: 190 loss: 0.5329 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n", - "Epoch: 191 loss: 0.5329 Train_acc: 0.9667\n", - "Epoch: 192 loss: 0.5328 Train_acc: 0.9667\n", - "Epoch: 193 loss: 0.5327 Train_acc: 0.9667\n", - "Epoch: 194 loss: 0.5327 Train_acc: 0.9667\n", - "Epoch: 195 loss: 0.5326 Train_acc: 0.9667\n", - "Epoch: 196 loss: 0.5325 Train_acc: 0.9667\n", - "Epoch: 197 loss: 0.5325 Train_acc: 0.9667\n", - "Epoch: 198 loss: 0.5324 Train_acc: 0.9667\n", - "Epoch: 199 loss: 0.5323 Train_acc: 0.9667\n", - "Epoch: 200 loss: 0.5323 Train_acc: 0.9667\n", - "Test_acc: 1.0000\n" - ] - } - ], "source": [ "test_interval = 10\n", "num_epochs = 200\n", @@ -751,14 +471,15 @@ " .item()\n", " )\n", " print(f\"Test_acc: {test_accuracy:.4f}\", flush=True)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], - "source": [] + "source": [], + "outputs": [] } ], "metadata": { diff --git a/tutorials/simplicial/scn2_train.ipynb b/tutorials/simplicial/scn2_train.ipynb index e9b17530..adad3e6e 100644 --- a/tutorials/simplicial/scn2_train.ipynb +++ b/tutorials/simplicial/scn2_train.ipynb @@ -23,19 +23,9 @@ "cell_type": "code", "execution_count": 13, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -44,25 +34,18 @@ "\n", "%load_ext autoreload\n", "%autoreload 2" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "cpu\n" - ] - } - ], "source": [ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(device)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -79,19 +62,8 @@ "cell_type": "code", "execution_count": 15, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Loading shrec 16 small dataset...\n", - "\n", - "done!\n" - ] - } - ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "x_0s = shrec[\"node_feat\"]\n", @@ -101,23 +73,13 @@ "ys = shrec[\"label\"]\n", "ys = ys.reshape((100, 1))\n", "simplexes = shrec[\"complexes\"]" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The 6th simplicial complex has 252 nodes with features of dimension 6.\n", - "The 6th simplicial complex has 750 edges with features of dimension 10.\n", - "The 6th simplicial complex has 500 faces with features of dimension 7.\n" - ] - } - ], "source": [ "i_complex = 6\n", "print(\n", @@ -129,7 +91,8 @@ "print(\n", " f\"The {i_complex}th simplicial complex has {x_2s[i_complex].shape[0]} faces with features of dimension {x_2s[i_complex].shape[1]}.\"\n", ")" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -144,7 +107,6 @@ "cell_type": "code", "execution_count": 17, "metadata": {}, - "outputs": [], "source": [ "laplacian_0s = []\n", "laplacian_1s = []\n", @@ -161,7 +123,8 @@ " laplacian_0s.append(laplacian_0)\n", " laplacian_1s.append(laplacian_1)\n", " laplacian_2s.append(laplacian_2)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -176,19 +139,18 @@ "cell_type": "code", "execution_count": 18, "metadata": {}, - "outputs": [], "source": [ "in_channels_0 = x_0s[i_complex].shape[1]\n", "in_channels_1 = x_1s[i_complex].shape[1]\n", "in_channels_2 = x_2s[i_complex].shape[1]\n", "out_channels = 1" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, - "outputs": [], "source": [ "class Network(torch.nn.Module):\n", " def __init__(\n", @@ -227,13 +189,13 @@ " + one_dimensional_cells_mean\n", " + zero_dimensional_cells_mean\n", " )" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, - "outputs": [], "source": [ "n_layers = 2\n", "model = Network(\n", @@ -242,13 +204,13 @@ "model = model.to(device)\n", "optimizer = torch.optim.Adam(model.parameters(), lr=0.1)\n", "loss_fn = torch.nn.MSELoss()" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, - "outputs": [], "source": [ "test_size = 0.2\n", "x_0s_train, x_0s_test = train_test_split(x_0s, test_size=test_size, shuffle=False)\n", @@ -266,7 +228,8 @@ ")\n", "\n", "y_train, y_test = train_test_split(ys, test_size=test_size, shuffle=False)" - ] + ], + "outputs": [] }, { "cell_type": "markdown", @@ -279,124 +242,6 @@ "cell_type": "code", "execution_count": 22, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch: 1 loss: 106.0943\n", - "Epoch: 2 loss: 85.9616\n", - "Epoch: 3 loss: 83.0319\n", - "Epoch: 4 loss: 80.9816\n", - "Epoch: 5 loss: 79.5344\n", - "Epoch: 6 loss: 78.9647\n", - "Epoch: 7 loss: 78.0454\n", - "Epoch: 8 loss: 77.2352\n", - "Epoch: 9 loss: 77.0969\n", - "Epoch: 10 loss: 76.4979\n", - "Test_loss: 27.4806\n", - "Epoch: 11 loss: 76.7194\n", - "Epoch: 12 loss: 76.1580\n", - "Epoch: 13 loss: 78.0519\n", - "Epoch: 14 loss: 75.5705\n", - "Epoch: 15 loss: 76.1465\n", - "Epoch: 16 loss: 76.5432\n", - "Epoch: 17 loss: 78.0466\n", - "Epoch: 18 loss: 77.0446\n", - "Epoch: 19 loss: 80.5840\n", - "Epoch: 20 loss: 75.3278\n", - "Test_loss: 35.2363\n", - "Epoch: 21 loss: 75.6831\n", - "Epoch: 22 loss: 74.5437\n", - "Epoch: 23 loss: 75.6770\n", - "Epoch: 24 loss: 78.6057\n", - "Epoch: 25 loss: 75.3240\n", - "Epoch: 26 loss: 74.4333\n", - "Epoch: 27 loss: 75.4743\n", - "Epoch: 28 loss: 76.0289\n", - "Epoch: 29 loss: 75.6414\n", - "Epoch: 30 loss: 76.2671\n", - "Test_loss: 20.8572\n", - "Epoch: 31 loss: 75.7918\n", - "Epoch: 32 loss: 74.1627\n", - "Epoch: 33 loss: 73.6667\n", - "Epoch: 34 loss: 72.9490\n", - "Epoch: 35 loss: 72.8358\n", - "Epoch: 36 loss: 73.0702\n", - "Epoch: 37 loss: 73.5069\n", - "Epoch: 38 loss: 73.7774\n", - "Epoch: 39 loss: 73.2788\n", - "Epoch: 40 loss: 73.7978\n", - "Test_loss: 21.3558\n", - "Epoch: 41 loss: 74.9096\n", - "Epoch: 42 loss: 73.2390\n", - "Epoch: 43 loss: 72.4291\n", - "Epoch: 44 loss: 73.3779\n", - "Epoch: 45 loss: 72.3256\n", - "Epoch: 46 loss: 72.9241\n", - "Epoch: 47 loss: 72.3715\n", - "Epoch: 48 loss: 72.1551\n", - "Epoch: 49 loss: 72.7596\n", - "Epoch: 50 loss: 72.3155\n", - "Test_loss: 13.5706\n", - "Epoch: 51 loss: 73.5445\n", - "Epoch: 52 loss: 72.3427\n", - "Epoch: 53 loss: 74.1711\n", - "Epoch: 54 loss: 72.1126\n", - "Epoch: 55 loss: 71.3567\n", - "Epoch: 56 loss: 69.5716\n", - "Epoch: 57 loss: 70.7865\n", - "Epoch: 58 loss: 70.4044\n", - "Epoch: 59 loss: 69.9258\n", - "Epoch: 60 loss: 69.7257\n", - "Test_loss: 11.6862\n", - "Epoch: 61 loss: 68.8615\n", - "Epoch: 62 loss: 69.6709\n", - "Epoch: 63 loss: 69.1890\n", - "Epoch: 64 loss: 70.6630\n", - "Epoch: 65 loss: 68.8225\n", - "Epoch: 66 loss: 68.8715\n", - "Epoch: 67 loss: 68.1793\n", - "Epoch: 68 loss: 68.7412\n", - "Epoch: 69 loss: 71.5032\n", - "Epoch: 70 loss: 70.2721\n", - "Test_loss: 6.6078\n", - "Epoch: 71 loss: 68.2701\n", - "Epoch: 72 loss: 69.6752\n", - "Epoch: 73 loss: 64.3450\n", - "Epoch: 74 loss: 62.4395\n", - "Epoch: 75 loss: 62.2776\n", - "Epoch: 76 loss: 67.0761\n", - "Epoch: 77 loss: 63.7860\n", - "Epoch: 78 loss: 60.9918\n", - "Epoch: 79 loss: 60.4742\n", - "Epoch: 80 loss: 60.2551\n", - "Test_loss: 0.2153\n", - "Epoch: 81 loss: 60.0425\n", - "Epoch: 82 loss: 59.4667\n", - "Epoch: 83 loss: 58.2843\n", - "Epoch: 84 loss: 57.9831\n", - "Epoch: 85 loss: 57.4091\n", - "Epoch: 86 loss: 56.9356\n", - "Epoch: 87 loss: 57.3874\n", - "Epoch: 88 loss: 57.6860\n", - "Epoch: 89 loss: 56.4505\n", - "Epoch: 90 loss: 56.2496\n", - "Test_loss: 0.6815\n", - "Epoch: 91 loss: 56.8954\n", - "Epoch: 92 loss: 55.0596\n", - "Epoch: 93 loss: 55.2672\n", - "Epoch: 94 loss: 55.1773\n", - "Epoch: 95 loss: 55.1011\n", - "Epoch: 96 loss: 54.5242\n", - "Epoch: 97 loss: 54.0988\n", - "Epoch: 98 loss: 54.5479\n", - "Epoch: 99 loss: 54.0969\n", - "Epoch: 100 loss: 54.7246\n", - "Test_loss: 0.0298\n" - ] - } - ], "source": [ "test_interval = 10\n", "num_epochs = 100\n", @@ -460,14 +305,15 @@ " y_hat = model(x_0, x_1, x_2, laplacian_0, laplacian_1, laplacian_2)\n", " test_loss = loss_fn(y_hat, y)\n", " print(f\"Test_loss: {test_loss:.4f}\", flush=True)" - ] + ], + "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], - "source": [] + "source": [], + "outputs": [] } ], "metadata": { diff --git a/tutorials/simplicial/scnn_train.ipynb b/tutorials/simplicial/scnn_train.ipynb index e5f960cd..9c518696 100644 --- a/tutorials/simplicial/scnn_train.ipynb +++ b/tutorials/simplicial/scnn_train.ipynb @@ -63,7 +63,7 @@ "outputs": [], "source": [ "import numpy as np\n", - "import toponetx.datasets as datasets\n", + "import toponetx as tnx\n", "import torch\n", "from sklearn.model_selection import train_test_split\n", "\n", @@ -102,7 +102,7 @@ } ], "source": [ - "shrec, _ = datasets.mesh.shrec_16(size=\"small\")\n", + "shrec, _ = tnx.datasets.shrec_16(size=\"small\")\n", "\n", "shrec = {key: np.array(value) for key, value in shrec.items()}\n", "\n", @@ -381,15 +381,6 @@ "# 2. Node Classification " ] }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import toponetx.datasets.graph as graph" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -413,7 +404,7 @@ } ], "source": [ - "dataset = graph.karate_club(complex_type=\"simplicial\")\n", + "dataset = tnx.datasets.karate_club(complex_type=\"simplicial\")\n", "print(dataset)\n", "\n", "# Maximal simplex order\n", diff --git a/tutorials/simplicial/scone_train.ipynb b/tutorials/simplicial/scone_train.ipynb index be5b6e5e..c1548c8b 100644 --- a/tutorials/simplicial/scone_train.ipynb +++ b/tutorials/simplicial/scone_train.ipynb @@ -55,10 +55,10 @@ "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "import numpy as np\n", + "import toponetx as tnx\n", "import torch\n", "import torch.nn as nn\n", "from scipy.spatial import Delaunay, distance\n", - "from toponetx.classes.simplicial_complex import SimplicialComplex\n", "from torch.optim import Adam\n", "from torch.utils.data import DataLoader, random_split\n", "from torch.utils.data.dataset import Dataset\n", @@ -75,18 +75,7 @@ "metadata": { "scrolled": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Seed random generators\n", "seed = 0\n", @@ -112,7 +101,7 @@ }, "outputs": [], "source": [ - "def generate_complex(N: int = 100) -> tuple[SimplicialComplex, np.ndarray]:\n", + "def generate_complex(N: int = 100) -> tuple[tnx.SimplicialComplex, np.ndarray]:\n", " \"\"\"\n", " Generate a simplicial complex of dimension 2 as follows:\n", " 1. Uniformly sample N random points form the unit square and build the Delaunay triangulation.\n", @@ -145,7 +134,7 @@ " for j in range(3):\n", " simplices[i][j] = idx_dict[simplices[i][j]]\n", "\n", - " sc = SimplicialComplex(simplices)\n", + " sc = tnx.SimplicialComplex(simplices)\n", " coords = points[list(indices_included)]\n", " return sc, coords" ] @@ -185,7 +174,7 @@ "metadata": {}, "outputs": [], "source": [ - "def plot_complex(sc: SimplicialComplex, coords: np.ndarray) -> None:\n", + "def plot_complex(sc: tnx.SimplicialComplex, coords: np.ndarray) -> None:\n", " \"\"\"\n", " Given a simplicial complex of dimension 1 or 2, plot the simplices in the plane using the coordinates of the 0-simplices in coords.\n", " \"\"\"\n", @@ -213,18 +202,7 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_complex(sc, coords)" ] @@ -251,7 +229,7 @@ "outputs": [], "source": [ "def generate_trajectories(\n", - " sc: SimplicialComplex, coords: np.ndarray, n_max: int = 1000\n", + " sc: tnx.SimplicialComplex, coords: np.ndarray, n_max: int = 1000\n", ") -> list[list[int]]:\n", " \"\"\"\n", " Generate trajectories from nodes in the lower left corner to the upper right corner connected through a node in the middle.\n", @@ -339,18 +317,7 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "plot_complex(sc, coords)\n", "plot_path(trajectories[0], coords)" @@ -387,7 +354,9 @@ "outputs": [], "source": [ "class TrajectoriesDataset(Dataset):\n", - " def __init__(self, sc: SimplicialComplex, trajectories: list[list[int]]) -> None:\n", + " def __init__(\n", + " self, sc: tnx.SimplicialComplex, trajectories: list[list[int]]\n", + " ) -> None:\n", " self.trajectories = trajectories\n", " self.sc = sc\n", " self.adjacency = torch.Tensor(sc.adjacency_matrix(0).toarray())\n", @@ -534,24 +503,7 @@ "cell_type": "code", "execution_count": 15, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 01/10\n", - "Epoch 02/10\n", - "Epoch 03/10\n", - "Epoch 04/10\n", - "Epoch 05/10\n", - "Epoch 06/10\n", - "Epoch 07/10\n", - "Epoch 08/10\n", - "Epoch 09/10\n", - "Epoch 10/10\n" - ] - } - ], + "outputs": [], "source": [ "# Hyper-parameters\n", "epochs = 1\n", @@ -612,18 +564,7 @@ "cell_type": "code", "execution_count": 16, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, axes = plt.subplots(ncols=2, figsize=(10, 4))\n", "axes[0].set_title(\"Loss\")\n", @@ -652,15 +593,7 @@ "metadata": { "scrolled": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Test accuracy: 0.600\n" - ] - } - ], + "outputs": [], "source": [ "model.eval()\n", "correct = 0\n",