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Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation


Nov 15, 2022
Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen

* The paper has been accepted for presentation at ECML PKDD 2022 

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Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting


Nov 14, 2022
Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou

* 8 pages, 5 figures 

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Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning


Nov 10, 2022
Yuanlong Li, Gaopan Huang, Min Zhou, Chuan Fu, Honglin Qiao, Yan He


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Hyperbolic Graph Representation Learning: A Tutorial


Nov 08, 2022
Min Zhou, Menglin Yang, Lujia Pan, Irwin King

* Accepted as ECML-PKDD 2022 Tutorial 

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Geometry Aligned Variational Transformer for Image-conditioned Layout Generation


Sep 02, 2022
Yunning Cao, Ye Ma, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, Yuning Jiang

* To be published in ACM MM 2022 

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Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics


Aug 17, 2022
Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang

* 13 pages, 6 figures and 4 tables 

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HICF: Hyperbolic Informative Collaborative Filtering


Jul 19, 2022
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

* Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22) 

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Boosting Factorization Machines via Saliency-Guided Mixup


Jun 17, 2022
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao


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Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads


May 19, 2022
Tsun Ho Aaron Cheung, Min Zhou, Minghua Chen

* 8 pages, 6 figures 

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