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Stability and Generalization of Hypergraph Collaborative Networks
Michael K. Ng1,2; Hanrui Wu3; Andy Yip2
发表期刊Machine Intelligence Research
ISSN2731-538X
2024
卷号21期号:1页码:184-196
摘要Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples. Recently, there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more complex relationships. In particular, the hypergraph collaborative networks yield superior results compared to other hypergraph neural networks for various semi-supervised learning tasks. The collaborative network can provide high quality vertex embeddings and hyperedge embeddings together by formulating them as a joint optimization problem and by using their consistency in reconstructing the given hypergraph. In this paper, we aim to establish the algorithmic stability of the core layer of the collaborative network and provide generalization guarantees. The analysis sheds light on the design of hypergraph filters in collaborative networks, for instance, how the data and hypergraph filters should be scaled to achieve uniform stability of the learning process. Some experimental results on real-world datasets are presented to illustrate the theory.
关键词Hypergraphs, vertices, hyperedges, collaborative networks, graph convolutional neural networks (CNNs), stability, generalization guarantees
DOI10.1007/s11633-022-1397-1
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/56032
专题学术期刊_Machine Intelligence Research
作者单位1.Institute of Data Science, The University of Hong Kong, Hong Kong, China
2.Department of Mathematics, The University of Hong Kong, Hong Kong, China
3.College of Information Science and Technology, Jinan University, Guangzhou 510006, China
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Michael K. Ng,Hanrui Wu,Andy Yip. Stability and Generalization of Hypergraph Collaborative Networks[J]. Machine Intelligence Research,2024,21(1):184-196.
APA Michael K. Ng,Hanrui Wu,&Andy Yip.(2024).Stability and Generalization of Hypergraph Collaborative Networks.Machine Intelligence Research,21(1),184-196.
MLA Michael K. Ng,et al."Stability and Generalization of Hypergraph Collaborative Networks".Machine Intelligence Research 21.1(2024):184-196.
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