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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,887 papers shown

Title
Graph Attention Memory for Visual Navigation Dong Li Qichao Zhang Dongbin Zhao Yuzheng Zhuang Bin Wang Wulong Liu Rasul Tutunov Jun Wang 65 16 0 11 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems Hongwei Wang Fuzheng Zhang Mengdi Zhang J. Leskovec Miao Zhao Wenjie Li Zhongyuan Wang 78 554 0 11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning Ronghang Hu Anna Rohrbach Trevor Darrell Kate Saenko 85 175 0 10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 106 72 0 10 May 2019
Adversarial Defense Framework for Graph Neural Network Shen Wang Zhengzhang Chen Jingchao Ni Xiao Yu Zhichun Li Haifeng Chen Philip S. Yu AAML GNN 71 28 0 09 May 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 74 853 0 08 May 2019
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets G. Vivar Hendrik Burwinkel Anees Kazi A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 55 3 0 08 May 2019
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks Hendrik Burwinkel Anees Kazi G. Vivar Shadi Albarqouni G. Zahnd Nassir Navab Seyed-Ahmad Ahmadi AI4CE 90 15 0 08 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein Stefanos Zafeiriou MedIm 3DH 87 165 0 08 May 2019
Understanding Attention and Generalization in Graph Neural Networks Boris Knyazev Graham W. Taylor Mohamed R. Amer GNN 178 343 0 08 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks Indro Spinelli Simone Scardapane A. Uncini MedIm AI4CE 91 154 0 06 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 104 457 0 04 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lio Jian Tang 99 81 0 02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 138 922 0 30 Apr 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition Ngoc-Quan Pham T. Nguyen Jan Niehues Markus Müller Sebastian Stüker A. Waibel 91 161 0 30 Apr 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 185 337 0 30 Apr 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Kyunghyun Cho Joan Bruna 51 26 0 29 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 128 536 0 29 Apr 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 79 49 0 27 Apr 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond Yue Cao Jiarui Xu Stephen Lin Fangyun Wei Han Hu ISeg 123 1,581 0 25 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 70 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 60 1 0 23 Apr 2019
Learning Actor Relation Graphs for Group Activity Recognition Jianchao Wu Limin Wang Li Wang Jie Guo Gangshan Wu 69 242 0 23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 89 490 0 22 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 76 101 0 22 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 48 57 0 21 Apr 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 128 76 0 18 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network Xingjian Du Xuan Shi Risheng Huang ObjD 27 8 0 18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs Guillaume Jaume An-phi Nguyen María Rodríguez Martínez Jean-Philippe Thiran M. Gabrani 69 22 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Helen Zhou AI4TS GNN 58 105 0 18 Apr 2019
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks Jaechang Lim Seongok Ryu Kyubyong Park Yo Joong Choe Jiyeon Ham W. Kim GNN 22 5 0 17 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 192 1,133 0 17 Apr 2019
Neural Message Passing for Multi-Label Classification Jack Lanchantin Arshdeep Sekhon Yanjun Qi 64 38 0 17 Apr 2019
GraphTSNE: A Visualization Technique for Graph-Structured Data Yao Yang Leow T. Laurent Xavier Bresson 39 18 0 15 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 83 333 0 12 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun Luo 3DPC 60 108 0 11 Apr 2019
Factor Graph Attention Idan Schwartz Seunghak Yu Tamir Hazan Alex Schwing 116 110 0 11 Apr 2019
Relational Graph Attention Networks Dan Busbridge Dane Sherburn Pietro Cavallo Nils Y. Hammerla GNN 58 183 0 11 Apr 2019
Recurrent Space-time Graph Neural Networks Andrei Liviu Nicolicioiu Iulia Duta Marius Leordeanu GNN 128 45 0 11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 66 47 0 09 Apr 2019
Relational Action Forecasting Chen Sun Abhinav Shrivastava Carl Vondrick Rahul Sukthankar Kevin Patrick Murphy Cordelia Schmid 87 81 0 08 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 161 1,354 0 07 Apr 2019
Adaptively Connected Neural Networks Guangrun Wang Keze Wang Liang Lin 70 47 0 07 Apr 2019
Context-aware Human Motion Prediction Enric Corona Albert Pumarola Guillem Alenyà Francesc Moreno-Noguer 3DH 127 142 0 06 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling Jiancheng Yang Qiang Zhang Bingbing Ni Linguo Li Jinxian Liu Mengdie Zhou Qi Tian 3DPC 93 381 0 06 Apr 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression Long Zhao Xi Peng Yu Tian Mubbasir Kapadia Dimitris N. Metaxas 3DH 110 514 0 06 Apr 2019
An Attentive Survey of Attention Models S. Chaudhari Varun Mithal Gungor Polatkan R. Ramanath 192 666 0 05 Apr 2019
Text Generation from Knowledge Graphs with Graph Transformers Rik Koncel-Kedziorski Dhanush Bekal Yi Luan Mirella Lapata Hannaneh Hajishirzi 87 328 0 04 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 79 51 0 04 Apr 2019
Clique pooling for graph classification Enxhell Luzhnica Ben Day Pietro Lio GNN 195 36 0 31 Mar 2019