Fairness in Graph Mining: A Survey-Reference-Cited by-同舟云学术

Fairness in Graph Mining: A Survey

Published:2023-10-01 Issue:10 Volume:35 Page:10583-10602
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Dong Yushun¹^ORCID,Ma Jing²^ORCID,Wang Song¹^ORCID,Chen Chen³^ORCID,Li Jundong⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA

2. Department of Computer Science, University of Virginia, Charlottesville, VA, USA

3. Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA

4. Department of Electrical and Computer Engineering, Department of Computer Science, School of Data Science, University of Virginia, Charlottesville, VA, USA

Funder

National Science Foundation

JP Morgan Chase Faculty Research Award

Cisco Faculty Research Award

Jefferson Lab subcontract

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/69/10251471/10097603-aam.pdf

Reference185 articles.

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4. Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth

5. Compositional fairness constraints for graph embeddings;bose;Proc Int Conf Mach Learn,2019

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