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cs.LG2024
Conditional Distribution Learning for Graph Classification
Jie Chen, Hua Mao, Chuanbin Liu +2
Leveraging the diversity and quantity of data provided by various graph-structured data augmentations while preserving intrinsic semantic information is challenging. Additionally,…
cs.LG2024★ 3 cited
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
Hao Yang, Hua Mao, Wai Lok Woo +2
Multiview clustering (MVC) segregates data samples into meaningful clusters by synthesizing information across multiple views. Moreover, deep learning-based methods have demonstrat…
cs.LG2023
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen, Hua Mao, Wai Lok Woo +2
Graph representation learning is fundamental for analyzing graph-structured data. Exploring invariant graph representations remains a challenge for most existing graph representati…