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models/lstm_to_lstm.py renamed to models/full_model.py

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import torch.functional as F
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class Seq2Seq(nn.Module):
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class FullModel(nn.Module):
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def __init__(self, encoder, decoder, device, graph_encoder=None, graph=False):
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super().__init__()
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models/gat_encoder.py

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import torch.nn as nn
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import torch.nn.functional as F
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from models.graph_convolution import GraphConvolution
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from models.graph_convolutional_layer import GraphConvolution
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from models.graph_attention_layer import GraphAttentionLayer
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import torch
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models/gcn_encoder.py

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import torch.nn as nn
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import torch.nn.functional as F
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from models.graph_convolution import GraphConvolution
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from models.graph_convolutional_layer import GraphConvolution
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class GCNEncoder(nn.Module):
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