most citedHyper-SAGNN: a self-attention based graph neural network for hypergraphs

31 citations · 31 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 31 cited

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs

Ruochi Zhang, Yuesong Zou, Jian Ma

Graph representation learning for hypergraphs can be used to extract patterns among higher-order interactions that are critically important in many real world problems. Current app…