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GraphMI: Extracting Private Graph Data from Graph Neural Networks


Jun 05, 2021
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

* 7 pages, 6 figures, accepted by IJCAI'21 

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Heterogeneous Graph Representation Learning with Relation Awareness


May 24, 2021
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

* 14 pages, 7 figures 

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Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning


Dec 29, 2020
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

* 14 pages,8 figures 

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Predicting Temporal Sets with Deep Neural Networks


Jul 08, 2020
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv

* 9 pages, 6 figures, Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '2020) 

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Exploiting Cognitive Structure for Adaptive Learning


May 23, 2019
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang

* Accepted by KDD 2019 Research Track. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD'19) 

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Skeptical Deep Learning with Distribution Correction


Nov 09, 2018
Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma


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Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling


Jul 27, 2016
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing, Jieping Ye


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