Graph Convolutional Networks enable semi-supervised learning on graphs by learning node representations that combine local structure and node features, outperforming prior methods on citation networks and knowledge graphs.
node2vec: Scalable feature learning for networks
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Semi-Supervised Classification with Graph Convolutional Networks
Graph Convolutional Networks enable semi-supervised learning on graphs by learning node representations that combine local structure and node features, outperforming prior methods on citation networks and knowledge graphs.