Prerequisite-driven Fair Clustering on Heterogeneous Information Networks

Summary: PDFC: prerequisite-driven fair clustering for heterogeneous information networks; meta-paths + prerequisite-meta-paths with Fairlets for balance. Orthogonal embeddings via Cholesky fusion; constrained k-means loss; dynamic adjacency updates for evolving HINs; validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6687
Venue: SIGMOD
Year: 2023
Pagerank: 5.093636e-05
Overall Rank: 11,396 | 21.82%
DOI: 10.1145/3589267

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Juntao Zhang (Wuhan University)
2. Sheng Wang (Wuhan University)
3. Yuan Sun (La Trobe University)
4. Zhiyong Peng (Wuhan University)

BibTeX Citation

@inproceedings{zhang_sigmod23,
        title = {{Prerequisite-driven Fair Clustering on Heterogeneous Information Networks}},
        author = {Zhang, Juntao and Wang, Sheng and Sun, Yuan and Peng, Zhiyong},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589267},
        url = {https://dl.acm.org/doi/10.1145/3589267},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
11,420	F3 KM: Federated, Fair, and Fast k-means	2023	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
731	PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks	2011	VLDB	0.00014537965
863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013531835
1,597	Designing Fair Ranking Schemes	2019	SIGMOD	0.00010246472
2,731	Neural Subgraph Counting with Wasserstein Estimator	2022	SIGMOD	8.1959181e-05
4,658	OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning	2021	SIGMOD	6.5817368e-05
5,112	Fast Large-Scale Trajectory Clustering	2020	VLDB	6.3596697e-05
5,483	DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows	2022	SIGMOD	6.2019677e-05
6,709	Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification	2022	SIGMOD	5.7964916e-05
7,348	Heterogeneous Information Networks: the Past, the Present, and the Future	2022	VLDB	5.6368384e-05
7,360	On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection	2021	VLDB	5.6340845e-05
7,449	Rank Aggregation with Proportionate Fairness	2022	SIGMOD	5.614576e-05

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