research
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07/10/2023
Improving Fairness of Graph Neural Networks: A Graph Counterfactual Perspective
Graph neural networks have shown great ability in representation (GNNs) ...
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06/19/2023
Fairness-aware Message Passing for Graph Neural Networks
Graph Neural Networks (GNNs) have shown great power in various domains. ...
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04/03/2023
Counterfactual Learning on Graphs: A Survey
Graph-structured data are pervasive in the real-world such as social net...
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08/03/2022
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning
Link prediction is an important task that has wide applications in vario...
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06/07/2022
Decoupled Self-supervised Learning for Non-Homophilous Graphs
In this paper, we study the problem of conducting self-supervised learni...
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04/18/2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Graph Neural Networks (GNNs) have made rapid developments in the recent ...
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10/15/2021
