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08/31/2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Graph Neural Networks (GNNs) have gained significant attention owing to ...
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07/10/2023
Fairness and Diversity in Recommender Systems: A Survey
Recommender systems are effective tools for mitigating information overl...
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12/07/2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
While machine learning models have achieved unprecedented success in rea...
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07/03/2022
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems
By virtue of the message-passing that implicitly injects collaborative e...
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06/07/2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Graph Neural Networks (GNNs) have shown great power in learning node rep...
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12/30/2021
Weak approximations of nonlinear SDEs with non-globally Lipschitz continuous coefficients
As opposed to an overwhelming number of works on strong approximations, ...
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12/01/2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Graph Neural Networks (GNNs) have achieved unprecedented success in lear...
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02/21/2020