35 lines
956 B
Python
35 lines
956 B
Python
"""
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Author: Weisen Pan
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Date: 2023-10-24
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"""
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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from torch_geometric.nn import GCNConv
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class GCNModel(nn.Module):
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def __init__(self, config):
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super(GCNModel, self).__init__()
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self.conv1 = GCNConv(34, 64)
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self.conv2 = GCNConv(64, 128)
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self.conv3 = GCNConv(128, 256)
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self.conv4 = GCNConv(256, 3)
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self.dropout1 = nn.Dropout(config.dropout)
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self.dropout2 = nn.Dropout(config.dropout)
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self.dropout3 = nn.Dropout(config.dropout)
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def forward(self, data):
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x, edge_index = data.x, data.edge_index
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x = self.conv1(x, edge_index)
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x = F.relu(x)
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x = self.dropout1(x)
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x = self.conv2(x, edge_index)
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x = F.relu(x)
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x = self.dropout2(x)
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x = self.conv3(x, edge_index)
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x = F.relu(x)
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x = self.dropout3(x)
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x = self.conv4(x, edge_index)
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return x
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