455ea48570f1af63b1270c8ccda49fbe3deb9bcc,python/dgl/graph.py,DGLGraph,from_networkx,#DGLGraph#Any#Any#Any#,1022

Before Change

            else:
                return F.tensor(lst)
        if node_attrs is not None:
            attr_dict = {attr : [] for attr in node_attrs}
            for nid in range(self.number_of_nodes()):
                for attr in node_attrs:
                    attr_dict[attr].append(nx_graph.nodes[nid][attr])
            for attr in node_attrs:

After Change

                        attr_dict[key][attrs["id"]] = attrs[key]
            else:
                // XXX: assuming networkx iteration order is deterministic
                for eid, (_, _, attr) in enumerate(nx_graph.edges(data=True)):
                    for key in edge_attrs:
                        attr_dict[key][eid] = attrs[key]
            for attr in edge_attrs:
                self._edge_frame[attr] = _batcher(attr_dict[attr])

    def from_scipy_sparse_matrix(self, a):

Instances