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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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Deep Contrastive Learning for Multi-View Network Embedding


Aug 16, 2021
Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang

* Work in progress 

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Deep Active Learning for Text Classification with Diverse Interpretations


Aug 15, 2021
Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu

* Accepted to CIKM 2021. Authors' version 

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Fully Hyperbolic Graph Convolution Network for Recommendation


Aug 10, 2021
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang

* Accepted by CIKM 2021 short paper track 

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Label-informed Graph Structure Learning for Node Classification


Aug 10, 2021
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang

* Accepted by CIKM 2021 short paper track 

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GraphFM: Graph Factorization Machines for Feature Interaction Modeling


May 25, 2021
Zekun Li, Shu Wu, Zeyu Cui, Xiaoyu Zhang

* work in progress 

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Explainable Enterprise Credit Rating via Deep Feature Crossing Network


May 22, 2021
Weiyu Guo, Zhijiang Yang, Shu Wu, Fu Chen


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Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation


Apr 26, 2021
Yinjiang Cai, Zeyu Cui, Shu Wu, Zhen Lei, Xibo Ma

* 10 pages,7 figures 

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Mining Latent Structures for Multimedia Recommendation


Apr 19, 2021
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang

* Work in progress, 10 pages 

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Dynamic Graph Neural Networks for Sequential Recommendation


Apr 15, 2021
Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang

* Work in progress 

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DyGCN: Dynamic Graph Embedding with Graph Convolutional Network


Apr 07, 2021
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai

* 21 pages, 5 figures, submitted to TOIS 

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Graph Classification by Mixture of Diverse Experts


Mar 29, 2021
Fenyu Hu, Liping Wang, Shu Wu, Liang Wang, Tieniu Tan


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Deep Graph Structure Learning for Robust Representations: A Survey


Mar 04, 2021
Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang

* 8 pages, in submission to IJCAI 2021 (Survey Track) 

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Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval


Feb 22, 2021
Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang

* To appear at WWW 2021 

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A Graph-based Relevance Matching Model for Ad-hoc Retrieval


Jan 29, 2021
Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang

* To appear at AAAI 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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Dynamic Graph Collaborative Filtering


Jan 08, 2021
Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu

* ICDM 2020 Regular paper 

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Cold-start Sequential Recommendation via Meta Learner


Dec 10, 2020
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

* Accepted at AAAI 2021 

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Heterogeneous Graph Collaborative Filtering


Nov 18, 2020
Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang


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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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DGTN: Dual-channel Graph Transition Network for Session-based Recommendation


Sep 21, 2020
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

* Accepted at ICDMW 2020 

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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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One Shot 3D Photography


Sep 01, 2020
Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael Cohen

* ACM Transactions on Graphics (Proceedings of SIGGRAPH 2020), Volume 39, Number 4, 2020 
* Project page: https://facebookresearch.github.io/one_shot_3d_photography/ Code: https://github.com/facebookresearch/one_shot_3d_photography 

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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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Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks


May 12, 2020
Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang

* To appear at ACL 2020 

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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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