v1v2v3 (latest)

Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,886 papers shown

Title
Linkage Based Face Clustering via Graph Convolution Network Zhongdao Wang Liang Zheng Yali Li Shengjin Wang 3DH CVBM GNN 67 176 0 27 Mar 2019
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents Xiaojing Liu Feiyu Gao Qiong Zhang Huasha Zhao 78 184 0 27 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 57 18 0 26 Mar 2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao Guihai Chen OffRL CML 102 323 0 25 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces Shiyang Cheng M. Bronstein Yuxiang Zhou I. Kotsia Maja Pantic Stefanos Zafeiriou CVBM 3DH GAN 72 81 0 25 Mar 2019
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Yuan Li Xiaodan Liang Zhiting Hu Eric Xing MedIm 67 275 0 25 Mar 2019
Uncertainty quantification of molecular property prediction with Bayesian neural networks Seongok Ryu Yongchan Kwon W. Kim BDL 62 18 0 20 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 72 54 0 19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 88 938 0 18 Mar 2019
Extrapolating paths with graph neural networks Jean-Baptiste Cordonnier Andreas Loukas GNN 57 17 0 18 Mar 2019
Learning Edge Properties in Graphs from Path Aggregations Rakshit Agrawal Luca de Alfaro GNN FedML 31 6 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 57 34 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 163 1,336 0 10 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 143 262 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 287 4,375 0 06 Mar 2019
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense Huijun Wu Chen Wang Y. Tyshetskiy Andrew Docherty Kai Lu Liming Zhu AAML GNN 35 6 0 05 Mar 2019
Graph Neural Networks for Modelling Traffic Participant Interaction Frederik Diehl T. Brunner Michael Truong-Le Alois Knoll HAI GNN 81 113 0 04 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 114 114 0 02 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 33 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 82 25 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 111 276 0 28 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 135 1,090 0 26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 83 89 0 25 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 96 63 0 25 Feb 2019
GFCN: A New Graph Convolutional Network Based on Parallel Flows Feng Ji Jielong Yang Qiang Zhang Wee Peng Tay GNN 26 6 0 25 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 100 137 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 113 221 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 256 3,195 0 19 Feb 2019
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials T. Xie A. France-Lanord Yanming Wang Y. Shao-horn Jeffrey C. Grossman AI4CE 50 111 0 18 Feb 2019
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model Sirin Haddad Meiqing Wu He Wei S. Lam 60 57 0 13 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 56 7 0 13 Feb 2019
Context-Aware Visual Compatibility Prediction Guillem Cucurull Perouz Taslakian David Vazquez 87 99 0 10 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 113 470 0 10 Feb 2019
Size Independent Neural Transfer for RDDL Planning Sankalp Garg Aniket Bajpai Mausam OffRL 40 41 0 08 Feb 2019
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis Katsuhiko Ishiguro S. Maeda Masanori Koyama GNN 73 33 0 04 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects Edward James Smith Scott Fujimoto Adriana Romero David Meger 67 91 0 31 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 86 168 0 28 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 64 40 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 112 632 0 23 Jan 2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations Hongyang Gao Yongjun Chen Shuiwang Ji GNN 68 41 0 21 Jan 2019
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract] Yuxia Geng Jiaoyan Chen Ernesto Jiménez-Ruiz Huajun Chen 26 12 0 20 Jan 2019
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors Alberto Garcia-Garcia Brayan S. Zapata-Impata Sergio Orts P. Gil Jose Garcia-Rodriguez 69 57 0 18 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 98 228 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 138 399 0 05 Jan 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 828 8,624 0 03 Jan 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 50 55 0 30 Dec 2018
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 139 286 0 26 Dec 2018
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 155 508 0 24 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 92 119 0 22 Dec 2018
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 1.2K 5,588 0 20 Dec 2018