DGL Part2

dgl3.py

class GCN(nn.Module):
    def __init__(self, in_feats, hidden_size, num_classes):
        super(GCN, self).__init__()
        self.gcn1 = GCNLayer(in_feats, hidden_size)
        self.gcn2 = GCNLayer(hidden_size, num_classes)
        self.softmax = nn.Softmax()

    def forward(self, g, inputs):
        h = self.gcn1(g, inputs)
        h = torch.relu(h)
        h = self.gcn2(g, h)
        h = self.softmax(h)
        return h