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Explainable Fairness in Recommendation


Apr 24, 2022
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang


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RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network


Feb 28, 2022
Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong

* WWW'22 

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Decoupling the Depth and Scope of Graph Neural Networks


Jan 19, 2022
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

* Advances in Neural Information Processing Systems, 2021 
* Accepted to NeurIPS 2021 

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Dynamic Graph Representation Learning via Graph Transformer Networks


Nov 19, 2021
Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Mehrdad Mahdavi, Chun-cheng Jason Chen


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Deep Graph Neural Networks with Shallow Subgraph Samplers


Dec 02, 2020
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna, Long Jin, Andrey Malevich, Ren Chen

* 21 pages 

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Revisiting Graph Neural Networks for Link Prediction


Oct 30, 2020
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin


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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding


Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

* KDD'19, Oral Paper, Data and Code link available in the paper 

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Scalable Spectral Clustering Using Random Binning Features


Aug 11, 2018
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu Aggarwal

* KDD'18, Oral Paper 

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Fast Graph Construction Using Auction Algorithm


Oct 16, 2012
Jun Wang, Yinglong Xia

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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