136 citations · 144 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 136 cited
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang, Min Gao, Junliang Yu +3
With the prevalence of social media, there has recently been a proliferation of recommenders that shift their focus from individual modeling to group recommendation. Since the grou…
cs.IR2020★ 2 cited
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
Junwei Zhang, Min Gao, Junliang Yu +3
Heterogeneous Information Network (HIN) is a natural and general representation of data in recommender systems. Combining HIN and recommender systems can not only help model user b…
cs.IR2020★ 6 cited
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective
Min Gao, Junwei Zhang, Junliang Yu +3
Recommender systems (RSs) now play a very important role in the online lives of people as they serve as personalized filters for users to find relevant items from an array of optio…