Search Results - Dong, Yushun

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  1. 1
    Fairness in Graph Mining: A Survey

    Fairness in Graph Mining: A Survey by Dong, Yushun, Ma, Jing, Wang, Song, Chen, Chen, Li, Jundong

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  2. 2
    Learning Hierarchical Task Structures for Few-shot Graph Classification

    Learning Hierarchical Task Structures for Few-shot Graph Classification by Wang, Song, Dong, Yushun, Huang, Xiao, Chen, Chen, Li, Jundong

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  3. 3
    Interpreting Unfairness in Graph Neural Networks via Training Node Attribution

    Interpreting Unfairness in Graph Neural Networks via Training Node Attribution by Dong, Yushun, Wang, Song, Ma, Jing, Liu, Ninghao, Li, Jundong

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  4. 4
    Few-shot Node Classification with Extremely Weak Supervision

    Few-shot Node Classification with Extremely Weak Supervision by Wang, Song, Dong, Yushun, Ding, Kaize, Chen, Chen, Li, Jundong

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  5. 5
    Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

    Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications by Fu, Xingbo, Zhang, Binchi, Dong, Yushun, Chen, Chen, Li, Jundong

    Published in SIGKDD explorations
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  6. 6
    EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

    EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks by Dong, Yushun, Liu, Ninghao, Jalaian, Brian, Li, Jundong

    Published in arXiv.org
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  7. 7
    AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter

    AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter by Dong, Yushun, Ding, Kaize, Jalaian, Brian, Ji, Shuiwang, Li, Jundong

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  8. 8
    Spatial-Temporal Networks for Antibiogram Pattern Prediction

    Spatial-Temporal Networks for Antibiogram Pattern Prediction by Fu, Xingbo, Chen, Chen, Dong, Yushun, Vullikanti, Anil, Klein, Eili, Madden, Gregory, Li, Jundong

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  9. 9
    Spatial-Temporal Networks for Antibiogram Pattern Prediction

    Spatial-Temporal Networks for Antibiogram Pattern Prediction by Fu, Xingbo, Chen, Chen, Dong, Yushun, Vullikanti, Anil, Klein, Eili, Madden, Gregory, Li, Jundong

    Published in ArXiv.org
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  10. 10
    When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

    When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? by Dong, Yushun, Li, Jundong, Schnabel, Tobias

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  11. 11
    Towards Certified Unlearning for Deep Neural Networks

    Towards Certified Unlearning for Deep Neural Networks by Zhang, Binchi, Dong, Yushun, Wang, Tianhao, Li, Jundong

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  12. 12
    Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective

    Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective by Dong, Yushun, Soga, Patrick, He, Yinhan, Wang, Song, Li, Jundong

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  13. 13
    FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting

    FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting by Piao, Xihao, Chen, Zheng, Dong, Yushun, Matsubara, Yasuko, Sakurai, Yasushi

    Published in arXiv.org
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  14. 14
    Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

    Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage by Wang, Yu, Zhao, Yuying, Dong, Yushun, Chen, Huiyuan, Li, Jundong, Derr, Tyler

    Published in arXiv.org
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  15. 15
    Empowering Next POI Recommendation with Multi-Relational Modeling

    Empowering Next POI Recommendation with Multi-Relational Modeling by Huang, Zheng, Ma, Jing, Dong, Yushun, Natasha Zhang Foutz, Li, Jundong

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  16. 16
    IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks

    IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks by Dong, Yushun, Zhang, Binchi, Lei, Zhenyu, Zou, Na, Li, Jundong

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  17. 17
    Rethinking Fair Graph Neural Networks from Re-balancing

    Rethinking Fair Graph Neural Networks from Re-balancing by Li, Zhixun, Dong, Yushun, Liu, Qiang, Jeffrey Xu Yu

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  18. 18
    Knowledge Graph-Enhanced Large Language Models via Path Selection

    Knowledge Graph-Enhanced Large Language Models via Path Selection by Liu, Haochen, Wang, Song, Zhu, Yaochen, Dong, Yushun, Li, Jundong

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  19. 19
    ELEGANT: Certified Defense on the Fairness of Graph Neural Networks

    ELEGANT: Certified Defense on the Fairness of Graph Neural Networks by Dong, Yushun, Zhang, Binchi, Tong, Hanghang, Li, Jundong

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  20. 20
    GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction

    GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction by Shi, Yucheng, Dong, Yushun, Tan, Qiaoyu, Li, Jundong, Liu, Ninghao

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