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Yuchang Zhu

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective

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Oct 14, 2024
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One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes

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Jun 19, 2024
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Fair Graph Representation Learning via Sensitive Attribute Disentanglement

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May 11, 2024
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LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning

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Nov 30, 2023
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The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

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Nov 29, 2023
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Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs

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Oct 18, 2023
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Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning

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Jun 03, 2023
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