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Deep Unified Representation for Heterogeneous Recommendation



Chengqiang Lu , Mingyang Yin , Shuheng Shen , Luo Ji , Qi Liu , Hongxia Yang

* 12 pages, 4 figures, accepted by the ACM Web Conference 2022 (WWW '22) 

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ProtGNN: Towards Self-Explaining Graph Neural Networks



Zaixi Zhang , Qi Liu , Hao Wang , Chengqiang Lu , Cheekong Lee

* Accepted by AAAI'22 

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Motif-based Graph Self-Supervised Learning for Molecular Property Prediction



Zaixi Zhang , Qi Liu , Hao Wang , Chengqiang Lu , Chee-Kong Lee

* Accepted by NeurIPS'21 

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Motif-based Graph Self-Supervised Learning forMolecular Property Prediction



Zaixi Zhang , Qi Liu , Hao Wang , Chengqiang Lu , Chee-Kong Lee

* Accepted by NeurIPS'21 

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GraphMI: Extracting Private Graph Data from Graph Neural Networks



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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ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction



Zhongkai Hao , Chengqiang Lu , Zheyuan Hu , Hao Wang , Zhenya Huang , Qi Liu , Enhong Chen , Cheekong Lee

* 9 pages 

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Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective



Chengqiang Lu , Qi Liu , Chao Wang , Zhenya Huang , Peize Lin , Lixin He


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