Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature Interactions

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Other Links: arxiv.org

Abstract:

Graph Convolutional Network (GCN) is an emerging technique that performs learning and reasoning on graph data. It operates feature learning on the graph structure, through aggregating the features of the neighbor nodes to obtain the embedding of each target node. Owing to the strong representation power, recent research shows that GCN a...More

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