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

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

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Contrastive Attributed Network Anomaly Detection with Data Augmentation von Xu, Zhiming, Huang, Xiao, Zhao, Yue, Dong, Yushun, Li, Jundong

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SD-Attack: Targeted Spectral Attacks on Graphs von Zhang, Xianren, Ma, Jing, Dong, Yushun, Chen, Chen, Gao, Min, Li, Jundong

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

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ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data von Lei, Zhenyu, Dong, Yushun, Li, Jundong, Chen, Chen

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

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

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

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

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

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

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Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network von Wang, Xiao, Yuan, Quan, Liu, Zhihan, Dong, Yushun, Wei, Xiaojuan, Li, Jinglin

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

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

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Federated Graph Learning with Graphless Clients von Fu, Xingbo, Wang, Song, Dong, Yushun, Zhang, Binchi, Chen, Chen, Li, Jundong

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Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction von He, Yinhan, Zheng, Zaiyi, Soga, Patrick, Zhu, Yaozhen, Dong, yushun, Li, Jundong

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

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

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

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