30 citations · 31 across the 3 of their papers we have counts for
3 papers
cs.IR2025★ 1 cited
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
Yansong Wang, Qihui Lin, Junjie Huang +1
Recommendation systems have become indispensable in various online platforms, from e-commerce to streaming services. A fundamental challenge in this domain is learning effective em…
cs.LG2025
CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks
Tao Liu, Longlong Lin, Yunfeng Yu +4
Graph Neural Networks (GNNs) have garnered substantial attention due to their remarkable capability in learning graph representations. However, real-world graphs often exhibit subs…
physics.soc-ph2025★ 30 cited
Spreading dynamics of information on online social networks
Fanhui Meng, Jiarong Xie, Jiachen Sun +7
Social media is profoundly changing our society with its unprecedented spreading power. Due to the complexity of human behaviors and the diversity of massive messages, the informat…