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A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms


Sep 08, 2022
Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li


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A Survey on Deep Graph Generation: Methods and Applications


Mar 13, 2022
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu

* Work in progress, in submission to IJCAI 2022 (Survey Track) 

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An Empirical Study of Graph Contrastive Learning


Sep 02, 2021
Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu

* Work in progress. Open-sourced library at https://github.com/GraphCL/PyGCL 

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Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning


Aug 31, 2021
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

* KDD Workshop on Deep Learning on Graphs: Method and Applications ([email protected] 2021) 

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Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction


Jan 11, 2021
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* 11 pages, work in progress 

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Graph Contrastive Learning with Adaptive Augmentation


Oct 27, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Work in progress; 11 pages, 3 figures, 5 tables. arXiv admin note: substantial text overlap with arXiv:2006.04131 

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CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning


Sep 03, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang

* 21 pages, in submission to ACM TIST 

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Deep Graph Contrastive Representation Learning


Jun 07, 2020
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Work in progress, 17 pages 

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