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Deep Active Graph Representation Learning

Oct 30, 2020
Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

* Preliminary work, 10 pages 

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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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TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

May 06, 2020
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan

* 5 pages, accepted to SIGIR 2020, authors' version 

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GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

Nov 14, 2019
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan

* 8 pages, in submission to IEEE Transactions on Knowledge and Data Engineering 

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Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks

Mar 05, 2019
Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan

* 7 pages, 3 figures 

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Session-based Recommendation with Graph Neural Networks

Nov 05, 2018
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan

* 9 pages, 4 figures, accepted by AAAI Conference on Artificial Intelligence (AAAI-19) 

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Active Learning for Wireless IoT Intrusion Detection

Aug 04, 2018
Kai Yang, Jie Ren, Yanqiao Zhu, Weiyi Zhang

* 7 pages, 4 figures, accepted by IEEE Wireless Communications 

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