Yuanlin Chen — accepted AI-conference papers

2025

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng

AAAI 2025technical

Unsupervised graph alignment aims to find corresponding nodes across different graphs without supervision. Existing methods usually leverage the graph structure to aggregate features of nodes to find relations between nodes. However, the graph structure is inherently limited in pairwise relations be…

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2024

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion

Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai

AAAI 2024technical

Hypergraph captures high-order information in structured data and obtains much attention in machine learning and data mining. Existing approaches mainly learn representations for hypervertices by transforming a hypergraph to a standard graph, or learn representations for hypervertices and hyperedges…

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