GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

20 March 2018

Jiani Zhang

Xingjian Shi

Junyuan Xie

Hao Ma

Irwin King

Dit-Yan Yeung

GNN

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Papers citing "GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs"

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Title
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version Razvan-Gabriel Cirstea Chenjuan Guo B. Yang AI4TS 29 42 0 19 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 27 33 0 08 Mar 2021
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SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 159 0 09 Feb 2021
A Review of Graph Neural Networks and Their Applications in Power Systems Wenlong Liao B. Bak‐Jensen J. Pillai Yuelong Wang Yusen Wang GNN AI4CE 32 210 0 25 Jan 2021
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mengzhang Li Zhanxing Zhu GNN AI4TS 17 746 0 15 Dec 2020
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture Anoushka Vyas S. Bandyopadhyay AI4CE 25 9 0 07 Dec 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 29 4 0 21 Oct 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 36 34 0 19 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 747 0 08 Sep 2020
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning Gabriel Spadon linda Qiao Bruno Brandoli Stan Matwin Jose F. Rodrigues-Jr Jimeng Sun AI4TS 31 57 0 28 Aug 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 42 1,450 0 04 Jul 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 40 630 0 18 Jun 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu Dingyi Zhuang A. Labbe Lijun Sun AI4CE 25 144 0 13 Jun 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 25 20 0 16 May 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 21 60 0 26 Mar 2020
Dynamic Spatiotemporal Graph Neural Network with Tensor Network Chengcheng Jia Bo Wu Xiao-Ping Zhang AI4TS 42 6 0 12 Mar 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 24 166 0 17 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 23 844 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 47 567 0 04 Feb 2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Q. Huang M. Yamada Yuan Tian Dinesh Singh Dawei Yin Yi-Ju Chang FAtt 37 345 0 17 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 31 23 0 02 Jan 2020
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 Oct 2019
Semi-supervised classification on graphs using explicit diffusion dynamics Robert L. Peach Alexis Arnaudon Mauricio Barahona GNN DiffM 16 15 0 24 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 19 5 0 06 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 953 0 10 Jul 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 33 46 0 21 Jun 2019
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards Hou Pong Chan Wang Chen Lu Wang Irwin King 27 81 0 10 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 11 2,107 0 31 May 2019
Path-Augmented Graph Transformer Network Benson Chen Regina Barzilay Tommi Jaakkola ViT GNN 20 59 0 29 May 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 29 225 0 27 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 42 1,255 0 20 May 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks Junkai Sun Junbo Zhang Qiaofei Li Xiuwen Yi Keli Zhang Yu Zheng AI4TS 26 163 0 19 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 47 3,109 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 163 8,362 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,406 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction Huaxiu Yao Xianfeng Tang Hua Wei Guanjie Zheng Z. Li AI4TS 36 709 0 03 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,812 0 25 Nov 2016