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Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective



Wei Jin , Xiaorui Liu , Yao Ma , Charu Aggarwal , Jiliang Tang

* Accepted by KDD 2022 

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Graph-level Neural Networks: Current Progress and Future Directions



Ge Zhang , Jia Wu , Jian Yang , Shan Xue , Wenbin Hu , Chuan Zhou , Hao Peng , Quan Z. Sheng , Charu Aggarwal


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Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities



Shoujin Wang , Qi Zhang , Liang Hu , Xiuzhen Zhang , Yan Wang , Charu Aggarwal

* SIGIR 2022 

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Graph Lifelong Learning: A Survey



Falih Gozi Febrinanto , Feng Xia , Kristen Moore , Chandra Thapa , Charu Aggarwal

* 8 pages, 3 figures 

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Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification



Yu Wang , Charu Aggarwal , Tyler Derr


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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks



Zhiqian Chen , Fanglan Chen , Lei Zhang , Taoran Ji , Kaiqun Fu , Liang Zhao , Feng Chen , Lingfei Wu , Charu Aggarwal , Chang-Tien Lu


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Jointly Attacking Graph Neural Network and its Explanations



Wenqi Fan , Wei Jin , Xiaorui Liu , Han Xu , Xianfeng Tang , Suhang Wang , Qing Li , Jiliang Tang , Jianping Wang , Charu Aggarwal


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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks



Zhiqian Chen , Fanglan Chen , Lei Zhang , Taoran Ji , Kaiqun Fu , Liang Zhao , Feng Chen , Lingfei Wu , Charu Aggarwal , Chang-Tien Lu


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NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs



Enyan Dai , Charu Aggarwal , Suhang Wang


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