scglue.models.nn.GraphConv.forward
- GraphConv.forward(input, eidx, enorm, esgn)[source]
Forward propagation
- Parameters
input (
torch.Tensor
) – Input data (\(n_{vertices} \times n_{features}\))eidx (
torch.Tensor
) – Vertex indices of edges (\(2 \times n_{edges}\))enorm (
torch.Tensor
) – Normalized weight of edges (\(n_{edges}\))esgn (
torch.Tensor
) – Sign of edges (\(n_{edges}\))
- Return type
- Returns
result – Graph convolution result (\(n_{vertices} \times n_{features}\))