dgl.ops.u_sub_v(g, x, y)

Generalized SDDMM function. It computes edge features by sub source node features and destination node features.

  • g (DGLGraph) – The input graph

  • x (tensor) – The source node features.

  • y (tensor) – The destination node features.


The result tensor.

Return type:



This function supports autograd (computing input gradients given the output gradient). If the feature shape of two input operands do not match, we first broadcasts the features to a unified shape (note that the memory usage will not increase accordingly) and then performs the operation.

Broadcasting follows NumPy semantics. Please see https://docs.scipy.org/doc/numpy/user/basics.broadcasting.html for more details about the NumPy broadcasting semantics.