GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning

Author:

Ramachandran Govardana Sachithanandam1,Brugere Ivan2,Varshney Lav R.3,Xiong Caiming1

Affiliation:

1. Salesforce Research, Palo Alto, CA, USA

2. University of Illinois at Chicago, Chicago, IL, USA

3. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tackling school segregation with transportation network interventions: an agent-based modelling approach;Autonomous Agents and Multi-Agent Systems;2024-05-20

2. Towards Reducing School Segregation by Intervening on Transportation Networks;Lecture Notes in Computer Science;2024

3. Reinforcement Learning on Graphs: A Survey;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-08

4. Reducing Access Disparities in Networks using Edge Augmentation✱;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12

5. Tackling Documentation Debt: A Survey on Algorithmic Fairness Datasets;Equity and Access in Algorithms, Mechanisms, and Optimization;2022-10-06

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