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

arXiv:2609.33392v1 Announce Type: cross Abstract: Hypergraph neural networks have achieved significant success in recent years. However, manual architecture crafting is labor-intensive and often fails to capture complex, higher-order relations, making the auto