4 papers
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
Murong Yang, Shihui Ying, Yue Gao +1
Although hypergraph neural networks (HGNNs) have emerged as a powerful framework for analyzing complex datasets, their practical performance often remains limited. On one hand, exi…
Riemannian Bilevel Optimization with Gradient Aggregation
Zhuo Chen, Xinjian Xu, Shihui Ying +1
Bilevel optimization (BLO) offers a principled framework for hierarchical decision-making and has been widely applied in machine learning tasks such as hyperparameter optimization…
Recent Advances in Hypergraph Neural Networks
Murong Yang, Xin-Jian Xu
The growing interest in hypergraph neural networks (HGNNs) is driven by their capacity to capture the complex relationships and patterns within hypergraph structured data across va…
Multi-view Spectral Clustering on the Grassmannian Manifold With Hypergraph Representation
Murong Yang, Shihui Ying, Xin-Jian Xu +1
Graph-based multi-view spectral clustering methods have achieved notable progress recently, yet they often fall short in either oversimplifying pairwise relationships or struggling…