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(st, parts) = metis.part_graph(self.graph, self.args.cluster_number)
Thanks for your awesome code, could you please tell me how metis conduct the graph partition?
Cause the self.graph here doesn't include the information about edge weights and feature attributes.
The text was updated successfully, but these errors were encountered:
Perhaps, you can find the answer in METIS. Metis only partitions the nodes into <self.args.cluster_numbe> parts ( the example in pymetis can help you better understand it), which means you need to split the features and edge weights manually.
If you know DGL, the dgl.node_subgraph function can help split the features.
(st, parts) = metis.part_graph(self.graph, self.args.cluster_number)
Thanks for your awesome code, could you please tell me how metis conduct the graph partition?
Cause the self.graph here doesn't include the information about edge weights and feature attributes.
The text was updated successfully, but these errors were encountered: