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Yizhou Sun
Researcher at University of California, Los Angeles
Publications - 280
Citations - 14926
Yizhou Sun is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Computer science & Graph (abstract data type). The author has an hindex of 47, co-authored 226 publications receiving 11167 citations. Previous affiliations of Yizhou Sun include Tongji University & Peking University.
Papers
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Journal ArticleDOI
PathSim: meta path-based top-K similarity search in heterogeneous information networks
TL;DR: Under the meta path framework, a novel similarity measure called PathSim is defined that is able to find peer objects in the network (e.g., find authors in the similar field and with similar reputation), which turns out to be more meaningful in many scenarios compared with random-walk based similarity measures.
Proceedings ArticleDOI
Personalized entity recommendation: a heterogeneous information network approach
Xiao Yu,Xiang Ren,Yizhou Sun,Quanquan Gu,Bradley Sturt,Urvashi Khandelwal,Brandon Norick,Jiawei Han +7 more
TL;DR: This paper proposes to combine heterogeneous relationship information for each user differently and aim to provide high-quality personalized recommendation results using user implicit feedback data and personalized recommendation models.
Proceedings ArticleDOI
Heterogeneous Graph Transformer
TL;DR: The proposed HGT model consistently outperforms all the state-of-the-art GNN baselines by 9–21 on various downstream tasks, and the heterogeneous mini-batch graph sampling algorithm—HGSampling—for efficient and scalable training.
Journal ArticleDOI
A Survey of Heterogeneous Information Network Analysis
TL;DR: A survey of heterogeneous information network analysis can be found in this article, where the authors introduce basic concepts of HIN analysis, examine its developments on different data mining tasks, discuss some advanced topics, and point out some future research directions.
Proceedings ArticleDOI
Ranking-based clustering of heterogeneous information networks with star network schema
Yizhou Sun,Yintao Yu,Jiawei Han +2 more
TL;DR: This paper studies clustering of multi-typed heterogeneous networks with a star network schema and proposes a novel algorithm, NetClus, that utilizes links across multityped objects to generate high-quality net-clusters and generates informative clusters.