scglue.models.glue.GraphEncoder.forward
- abstract GraphEncoder.forward(eidx, enorm, esgn)[source]
Encode graph to vertex latent distribution
- Parameters
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
v – Vertex latent distribution (\(n_{vertices} \times n_{features}\))