Are Graph Convolutional Networks Fully Exploiting Graph Structure?

6 Jun 2020Davide BuffelliFabio Vandin

Graph Convolutional Networks (GCNs) generalize the idea of deep convolutional networks to graphs, and achieve state-of-the-art results on many graph related tasks. GCNs rely on the graph structure to define an aggregation strategy where each node updates its representation by combining information from its neighbours... (read more)

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