Author

Cheng-Bin Peng

2 papers indexed here

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#artificial intelligence Oct 2026

Node-level Graph Neural Architecture Search Framework

In recent years, Graph Neural Networks (GNNs) and architecture search frameworks have gained extensive application in non-Euclidean data processing, attributable to their superior capacity in managing unstructured data. Nevertheless, traditional approaches typically apply uniform convolution operations to all nodes, re...

Lintao Yanga, Sirui Lia, Ya-Qing Wang et al. · arXiv (Cornell University) · 0 citations

#artificial intelligence Open access Sep 2026

AutoHGNN: Robust and efficient neural architecture search for hypergraph neural networks

This paper proposes AutoHGNN, a neural architecture search framework tailored for hypergraph neural networks, and introduces a Hyper-Interaction Module (HIM) into the search space to address the mismatch between conventional graph neural network designs and hypergraph data.

Sirui Li, Pietro Lio', Xin-Sheng Li et al. · Knowledge-Based Systems · 0 citations