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20212026
most citedAn end-to-end attention-based approach for learning on graphs

27 citations · 69 across the 8 of their papers we have counts for

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cs.LG2026

AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks

Sirui Li, Pietro Liò b, Xinsheng Li +2

Hypergraph neural networks have achieved significant success in recent years. However, manual architecture crafting is labor-intensive and often fails to capture complex, higher-or…