Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions
Summary: Tutorial survey of cohesive subgraph search in heterogeneous information networks (HINs), focusing on models, algorithms, and scalable techniques. Covers applications (community search, recommendations, fraud detection), reviews methods, compares approaches, and outlines open challenges and future directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yixiang Fang (Chinese University of Hong Kong)
- 2. Kai Wang (University of New South Wales)
- 3. Xuemin Lin (University of New South Wales)
- 4. Wenjie Zhang (University of New South Wales)
BibTeX Citation
@inproceedings{fang_sigmod21,
title = {{Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions}},
author = {Fang, Yixiang and Wang, Kai and Lin, Xuemin and Zhang, Wenjie},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457538},
url = {https://dl.acm.org/doi/10.1145/3448016.3457538},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,681 | Influential Community Search over Large Heterogeneous Information Networks | 2023 | VLDB | 6.5665144e-05 |
| 6,617 | Efficient Parallel D-core Decomposition at Scale | 2024 | VLDB | 5.8212982e-05 |
| 7,032 | Fast Maximal Quasi-clique Enumeration: A Pruning and Branching Co-Design Approach | 2023 | SIGMOD | 5.7222954e-05 |
| 7,444 | Accelerating Maximal Clique Enumeration via Graph Reduction | 2024 | VLDB | 5.6166432e-05 |
| 9,540 | Efficient Maximum s-Bundle Search via Local Vertex Connectivity | 2025 | SIGMOD | 5.2528121e-05 |
| 9,551 | Maximum k-Plex Search: An Alternated Reduction-and-Bound Method | 2025 | VLDB | 5.2528121e-05 |
| 9,690 | Searching and Detecting Structurally Similar Communities in Large Heterogeneous Information Networks | 2025 | VLDB | 5.2351259e-05 |
| 10,900 | A Comprehensive Survey and Experimental Study of Learning-based Community Search | 2025 | VLDB | 5.093636e-05 |
| 11,085 | Finding Time-Proximity Communities in Temporal Heterogeneous Information Networks | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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