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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
h5a8c5e260b71368b
Venue
SIGMOD
Year
2023
Pagerank
4.9793485e-05
Overall Rank
11,711 | 21.27%
DOI
10.1145/3589267
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BibTeX Citation
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@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)
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
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Interventional Fairness : Causal Database Repair for Algorithmic Fairness
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Neural Subgraph Counting with Wasserstein Estimator
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OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
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2020
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DenForest: Enabling Fast Deletion in Incremental Density-Based Clustering over Sliding Windows
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Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
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Heterogeneous Information Networks: the Past, the Present, and the Future
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7,588
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2022
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5.4886e-05
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