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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)

Paper ID
10675
Venue
VLDB
Year
2012
Pagerank
7.7036411e-05
Overall Rank
3,151 | 78.39%
DOI
10.14778/2140436.2140437

Incoming Non-self Citations Over Time

Authors

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}
}

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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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