in src/model.py [0:0]
def _conv_forward(self, g: dgl.DGLGraph) -> torch.Tensor:
"""forward pass through the GraphConv layers"""
in_feat = g.ndata["h"]
h = self.conv1(g, in_feat)
h = F.relu(h)
h = self.conv2(g, h)
h = F.relu(h)
return h