Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
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Jan 11, 2023 - Python
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graphsage
Here are 33 public repositories matching this topic...
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
deep-learning neural-network clustering community-detection pytorch deepwalk louvain metis graph-convolutional-networks gcn graph-clustering node2vec node-classification graphsage graph-neural-networks graph2vec diff2vec gemsec musae graph-convolution
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Nov 6, 2022 - Python
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
machine-learning research deep-learning tensorflow sklearn pytorch deepwalk transformer convolutional-neural-networks gcn iclr graph-representation node2vec graph-convolutional-network graphsage graph-neural-networks graph-convolution gwnn gpt2 gpt3
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Mar 18, 2023 - Python
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
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Mar 25, 2021 - Python
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
nlp tf2 gin gan albert bert message-passing graph-convolutional-networks gcn textcnn graphsage bilstm-attention gnn tensorflow2 gpt2 bert-ner bert-cls albert-ner graph-classfication textgcn
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Aug 14, 2024 - Python
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
machine-learning deep-learning neural-network pytorch deepwalk transformer network-embedding gcn node2vec graph-embedding node-classification graphsage graph-neural-networks graph-convolution graph-attention signed-network sgcn pytorch-geometric gpt2 gpt3
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Mar 18, 2023 - Python
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
machine-learning reinforcement-learning sklearn deep-reinforcement-learning pytorch deepwalk neural-networks attention transfer-learning gcn node2vec graph-classification graphsage graph2vec structural-attention graph-convolution graph-attention reinforcement-agent
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Nov 6, 2022 - Python
Representation learning on large graphs using stochastic graph convolutions.
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May 8, 2018 - Python
Gradient gating (ICLR 2023)
pytorch message-passing gcn iclr graphsage graph-neural-networks gat pytorch-geometric heterophily oversmoothing iclr2023
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May 11, 2023 - Python
CFG based program similarity using Graph Neural Networks
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Mar 21, 2023 - Python
PyTorch implementation of GraphSAGE.
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Sep 29, 2019 - Python
Fraud Detection using various GNN models
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Jul 2, 2023 - Python
Comparative Analysis of Graph Neural Networks for Node Regression on Wiki-Squirrel dataset (bachelor's Research Project)
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Nov 22, 2023 - Python
Reproduction of the paper "Inductive Representation Learning on Large Graphs"
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Apr 11, 2022 - Python
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
docker machine-learning deep-learning nextflow docker-compose minio variational-inference variational-autoencoder gene-regulatory-network graphsage graph-neural-networks mlops mlflow graph-neural-network nextflow-pipeline nextflow-pipelines gene-regulatory-networks gene-regulatory-network-inference dream5
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Nov 20, 2024 - Python
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