v1v2v3 (latest)

Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,886 papers shown

Title
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks Peng Wang Qi Wu Jiewei Cao Chunhua Shen Lianli Gao Anton Van Den Hengel ObjD 95 256 0 12 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 198 1,342 0 11 Dec 2018
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning Prithviraj Ammanabrolu Mark O. Riedl GNN 97 122 0 04 Dec 2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs Daniel Neil Joss Briody A. Lacoste Aaron Sim Páidí Creed Amir Saffari GNN 143 35 0 01 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 52 13 0 30 Nov 2018
Attributed Network Embedding for Incomplete Attributed Networks Chengbin Hou Shan He Ke Tang 21 1 0 28 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 91 229 0 27 Nov 2018
Attentive Relational Networks for Mapping Images to Scene Graphs Mengshi Qi Weijian Li Zhengyuan Yang Yunhong Wang Jiebo Luo 3DPC 3DH GNN 79 169 0 26 Nov 2018
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules Boris Knyazev Xiao Lin Mohamed R. Amer Graham W. Taylor GNN 67 31 0 23 Nov 2018
On Filter Size in Graph Convolutional Networks D. V. Tran Nicoló Navarin A. Sperduti GNN 88 50 0 23 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning Pengfei Liu Shuaichen Chang Xuanjing Huang Jian Tang Jackie C.K. Cheung 57 47 0 21 Nov 2018
Uncertainty quantification of molecular property prediction using Bayesian neural network models Seongok Ryu Yongchan Kwon W. Kim BDL 30 2 0 19 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 33 18 0 17 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 157 1,405 0 15 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 176 1,372 0 14 Nov 2018
Graph Convolutional Neural Networks via Motif-based Attention Hao Peng Jianxin Li Qiran Gong Lihong Wang Yuanxing Ning Philip S. Yu GNN 56 12 0 11 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 176 33 0 08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 129 193 0 05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 86 160 0 04 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 210 260 0 03 Nov 2018
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis Guixiang Ma Nesreen Ahmed Theodore L. Willke D. Sengupta Michael W. Cole Nicholas B. Turk-Browne Pratik Shah MedIm 72 8 0 02 Nov 2018
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling Tengfei Ma Patrick Ferber Siyu Huo Jie Chen Michael Katz 81 33 0 01 Nov 2018
A Regularized Attention Mechanism for Graph Attention Networks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias OOD GNN 52 17 0 01 Nov 2018
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 105 862 0 29 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 141 23 0 26 Oct 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 71 240 0 24 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 82 339 0 22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,701 0 14 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 85 196 0 12 Oct 2018
GrAMME: Semi-Supervised Learning using Multi-layered Graph Attention Models U. Shanthamallu Jayaraman J. Thiagarajan Huan Song A. Spanias GNN 60 39 0 02 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 283 7,726 0 01 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 132 2,409 0 27 Sep 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 67 33 0 26 Sep 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 93 1,397 0 25 Sep 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 120 76 0 17 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 82 279 0 16 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 123 1,834 0 15 Sep 2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds Lasse Hansen Jasper Diesel M. Heinrich DiffM 3DPC 65 7 0 14 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 96 493 0 14 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 74 36 0 12 Sep 2018
Exploiting Edge Features in Graph Neural Networks Liyu Gong Qiang Cheng GNN 68 21 0 07 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 171 37 0 07 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets Ming Ding Jie Tang Jie Zhang GNN GAN 99 116 0 01 Sep 2018
Story Ending Generation with Incremental Encoding and Commonsense Knowledge Jian Guan Yansen Wang Minlie Huang LRM 119 162 0 30 Aug 2018
Question Answering by Reasoning Across Documents with Graph Convolutional Networks Nicola De Cao Wilker Aziz Ivan Titov BDL RALM GNN 113 226 0 29 Aug 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 75 165 0 27 Aug 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs Dimitri Kartsaklis Mohammad Taher Pilehvar Nigel Collier 66 58 0 23 Aug 2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images Jo Schlemper Ozan Oktay M. Schaap M. Heinrich Bernhard Kainz Ben Glocker Daniel Rueckert MedIm 105 1,483 0 22 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 74 326 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 106 599 0 12 Aug 2018