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
- 2. Charu C. Aggarwal
- 3. Jiawei Han
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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 |
|---|---|---|---|---|
| 313 | Graph Clustering Based on Structural/Attribute Similarities | 2009 | VLDB | 0.00028097557 |
| 3,817 | A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks | 2009 | VLDB | 6.730222e-05 |
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