AutoHGNN introduces a neural architecture search framework for hypergraph neural networks, featuring a Hyper-Interaction Module and a Hypergraph Stable Topological Distance criterion to…

#AutoHGNN #HypergraphNeuralNetworks #NeuralArchitectureSearch #MachineLearning
https://arxiv.org/abs/2609.33392

Sirui Li, Pietro Li\`o b, Xinsheng Li, Baisong Liu, Chengbin Peng: AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks https://arxiv.org/abs/2609.33392 https://arxiv.org/pdf/2609.33392 https://arxiv.org/html/2609.33392

Sirui Li, Pietro Li\`o b, Xinsheng Li, Baisong Liu, Chengbin Peng: AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks https://arxiv.org/abs/2609.33392 https://arxiv.org/pdf/2609.33392 https://arxiv.org/html/2609.33392