L-GCNs embed sets of rich edges into a latent adjacency tensor and, with per-neighbor nonlinear interactions, improve node classification on complex multigraphs.
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End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks
L-GCNs embed sets of rich edges into a latent adjacency tensor and, with per-neighbor nonlinear interactions, improve node classification on complex multigraphs.