Higher-order Network Representation Learning

Abstract

This paper describes a general framework for learningHigher-Order Network Embeddings (HONE) from graph data based on network motifs. The HONE framework is highly expressive and flexible with many interchangeable components. The experimental results demonstrate the effectiveness of learning higher-order network representations. In all cases, HONE outperforms… (More)
DOI: 10.1145/3184558.3186900

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