Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes
Summary: Model-based clustering for heterogeneous networks with incomplete attributes, mapping objects into a space using attributes and links. Learns link-type strengths for clustering, with iterative refinement weights and clustering quality reinforce. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yizhou Sun (University of Illinois Urbana-Champaign)
- 2. Charu C. Aggarwal (IBM)
- 3. Jiawei Han (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{sun_vldb12,
title = {{Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes}},
author = {Sun, Yizhou and Aggarwal, Charu C. and Han, Jiawei},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {5},
pages = {394},
doi = {10.14778/2140436.2140437},
url = {https://doi.org/10.14778/2140436.2140437},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 364 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.00020054172 |
| 5,203 | A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks | 2009 | VLDB | 6.3192921e-05 |
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