Graph Partition Neural Networks for Semi-Supervised Classification

ICLR 2018 Renjie LiaoMarc BrockschmidtDaniel TarlowAlexander L. GauntRaquel UrtasunRichard Zemel

We present graph partition neural networks (GPNN), an extension of graph neural networks (GNNs) able to handle extremely large graphs. GPNNs alternate between locally propagating information between nodes in small subgraphs and globally propagating information between the subgraphs... (read more)

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