FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning-Reference-Cited by-同舟云学术

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Equity and Access in Algorithms, Mechanisms, and Optimization
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Author:

He Yuntian¹^ORCID,Gurukar Saket²^ORCID,Parthasarathy Srinivasan³^ORCID

Affiliation:

1. The Ohio State University, United States

2. Samsung Research America, USA

3. The Ohio State University, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617694.3623231

Reference50 articles.

1. Chirag Agarwal Himabindu Lakkaraju and Marinka Zitnik. 2021. Towards a unified framework for fair and stable graph representation learning. In Uncertainty in Artificial Intelligence. PMLR 2114–2124. Chirag Agarwal Himabindu Lakkaraju and Marinka Zitnik. 2021. Towards a unified framework for fair and stable graph representation learning. In Uncertainty in Artificial Intelligence. PMLR 2114–2124.

2. Taha Atahan Akyildiz , Amro Alabsi Aljundi , and Kamer Kaya . 2020 . GOSH: Embedding big graphs on small hardware. In ICPP. 1–11. Taha Atahan Akyildiz, Amro Alabsi Aljundi, and Kamer Kaya. 2020. GOSH: Embedding big graphs on small hardware. In ICPP. 1–11.

3. Abolfazl Asudeh HV Jagadish Julia Stoyanovich and Gautam Das. 2019. Designing fair ranking schemes. In SIGMOD. 1259–1276. Abolfazl Asudeh HV Jagadish Julia Stoyanovich and Gautam Das. 2019. Designing fair ranking schemes. In SIGMOD. 1259–1276.

4. Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam Tauman Kalai. 2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In NeurIPS Vol. 29. Tolga Bolukbasi Kai-Wei Chang James Y Zou Venkatesh Saligrama and Adam Tauman Kalai. 2016. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. In NeurIPS Vol. 29.

5. Avishek Bose and William Hamilton . 2019 . Compositional fairness constraints for graph embeddings . In International Conference on Machine Learning. PMLR, 715–724 . Avishek Bose and William Hamilton. 2019. Compositional fairness constraints for graph embeddings. In International Conference on Machine Learning. PMLR, 715–724.