Support bipartite graph for utils isolated nodes #9825
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| >>> bi_edge_index = torch.tensor([[0, 0], | ||
| ... [1, 1]]) | ||
| >>> num_isolated_nodes(bi_edge_index, num_nodes=(2, 2)) | ||
| (0, 0) | ||
| >>> num_isolated_nodes(bi_edge_index, num_nodes=(2, 3)) | ||
| (0, 1) | ||
| >>> num_isolated_nodes(bi_edge_index, num_nodes=(3, 3)) | ||
| (1, 1) |
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Is this example for bipartite correct?
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contains_isolated_nodesandremove_isolated_nodescontains_isolated_nodesreturns a tuple of boolean if it's a bipartite graphnum_isolated_nodesfor both bipartite and normal graph(src_num_isolated_nodes, dst_num_isolated_nodes)