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20232026
most citedA Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide

56 citations · 68 across the 11 of their papers we have counts for

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Showing 2023 · cs.LGShow all

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cs.LG2023★ 2 cited

Towards Deep Attention in Graph Neural Networks: Problems and Remedies

Soo Yong Lee, Fanchen Bu, Jaemin Yoo +1

Graph neural networks (GNNs) learn the representation of graph-structured data, and their expressiveness can be further enhanced by inferring node relations for propagation. Attent…