On detecting association-based clique outliers in heterogeneous information networks

Author:

Gupta Manish1,Gao Jing2,Yan Xifeng3,Cam Hasan4,Han Jiawei5

Affiliation:

1. Microsoft, India

2. State University of New York at Buffalo

3. University of California, Santa Barbara

4. US Army Research Lab

5. University of Illinois at Urbana-Champaign

Funder

Division of Information and Intelligent Systems

Division of Computer and Network Systems

U.S. Army Research Laboratory

Air Force Office of Scientific Research

Publisher

ACM

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Local Community Search over Large Heterogeneous Information Networks;Lecture Notes in Computer Science;2024

2. Relationship Prediction based Anomaly Detection in Heterogeneous Information Networks;2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2023-06-16

3. Scalable top-k query on information networks with hierarchical inheritance relations;Distributed and Parallel Databases;2023-06-03

4. Comparison Analysis;Cohesive Subgraph Search Over Large Heterogeneous Information Networks;2022

5. CSS on Other General HINs;Cohesive Subgraph Search Over Large Heterogeneous Information Networks;2022

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