Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

May 24, 2020
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang

* Accepted by KDD 2020 

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Learning to Propagate for Graph Meta-Learning

Sep 11, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to NeurIPS 2019 

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Attributed Graph Clustering: A Deep Attentional Embedding Approach

Jun 15, 2019
Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang

* Accepted to IJCAI-19 

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

Jun 02, 2019
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang

* Accepted to IJCAI 2019, Code is publicly available at: https://github.com/liulu112601/PPN 

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Graph WaveNet for Deep Spatial-Temporal Graph Modeling

May 31, 2019
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang

* to be published in IJCAI-2019 

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Search Efficient Binary Network Embedding

Jan 14, 2019
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang


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Attributed Network Embedding via Subspace Discovery

Jan 14, 2019
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang


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Learning Graph Embedding with Adversarial Training Methods

Jan 04, 2019
Shirui Pan, Ruiqi Hu, Sai-fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang

* arXiv admin note: substantial text overlap with arXiv:1802.04407 

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A Comprehensive Survey on Graph Neural Networks

Jan 03, 2019
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu


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Fast Directional Self-Attention Mechanism

Sep 09, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* 9 pages, 2 figures 

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Network Representation Learning: A Survey

Jul 19, 2018
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

* Accepted by IEEE transactions on Big Data; 25 pages, 10 tables, 6 figures and 127 references 

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Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling

Jul 05, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang

* 9 pages, 2 figures; accepted at IJCAI-ECAI-18 

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Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

Apr 03, 2018
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

* 18 pages, 7 figures; Accepted in ICLR-18 

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Adversarially Regularized Graph Autoencoder

Feb 13, 2018
Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang


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DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding

Nov 20, 2017
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang

* 10 pages, 8 figures; Accepted in AAAI-18 

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Deep Learning from Noisy Image Labels with Quality Embedding

Nov 02, 2017
Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

* Under review for Transactions on Image Processing 

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Temporal Feature Selection on Networked Time Series

Dec 22, 2016
Haishuai Wang, Jia Wu, Peng Zhang, Chengqi Zhang

* submitted to a blind review journal 

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Dynamic Concept Composition for Zero-Example Event Detection

Jan 14, 2016
Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann

* 7 pages, AAAI 2016 

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Compound Rank-k Projections for Bilinear Analysis

Jun 03, 2015
Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang

* Accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 2015 

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