1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Robust Contrastive Graph Clustering with Adaptive Local-Global Integration
Lei Zhang, Fubo Sun, Haipeng Yang +2
Graph clustering is essential in graph analysis for revealing structural patterns and node communities. Despite recent advances in self-supervised contrastive learning that have im…
cs.IR2026
GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
Likang Wu, Zihao Chen, Jianxin Zhang +4
With the rapid emergence of multi-behavior learning in recommender systems, leveraging auxiliary user behaviors has proven effective for mitigating target-behavior data sparsity. Y…
cs.SI2023★ 1 cited
Fair Influence Maximization in Social Networks: A Community-Based Evolutionary Algorithm
Kaicong Ma, Xinxiang Xu, Haipeng Yang +2
Influence Maximization (IM) has been extensively studied in network science, which attempts to find a subset of users to maximize the influence spread. A new variant of IM, Fair In…