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08/18/2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Self-supervised learning with masked autoencoders has recently gained po...
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05/02/2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
In recent years, neural models have been repeatedly touted to exhibit st...
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01/03/2023
RELIANT: Fair Knowledge Distillation for Graph Neural Networks
Graph Neural Networks (GNNs) have shown satisfying performance on variou...
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11/25/2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Graph Neural Networks (GNNs) have emerged as the leading paradigm for so...
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06/24/2022
On Structural Explanation of Bias in Graph Neural Networks
Graph Neural Networks (GNNs) have shown satisfying performance in variou...
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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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04/24/2022
Empowering Next POI Recommendation with Multi-Relational Modeling
With the wide adoption of mobile devices and web applications, location-...
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08/11/2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Graph Neural Networks (GNNs) have recently demonstrated superior capabil...
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05/29/2021
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
To mitigate the spread of COVID-19 pandemic, decision-makers and public ...
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04/26/2021