cd484352064fc81e86ceb0ba2eb470e3aa8a72f3,python/dgl/transform.py,,add_reverse_edges,#Any#Any#Any#Any#Any#,231

Before Change

                    new_g.edges[c_etype].data[k] = g.edges[c_etype].data[k]
            else:
                for k in g.edges[c_etype].data:
                    new_g.edges[c_etype].data[k] = \
                        F.cat([g.edges[c_etype].data[k], g.edges[c_etype].data[k]], dim=0)
    return new_g

def line_graph(g, backtracking=True, shared=False):
    Return the line graph of this graph.

After Change

        // find indices
        eids = []
        for c_etype in canonical_etypes:
            eid = F.copy_to(F.arange(0, g.number_of_edges(c_etype)), new_g.device)
            if c_etype[0] != c_etype[2]:
                eids.append(eid)
            else:

Instances