Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 3,036 papers shown

Title
Factor Graph Attention Idan Schwartz Seunghak Yu Tamir Hazan Alex Schwing 30 110 0 11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 19 47 0 09 Apr 2019
Context-aware Human Motion Prediction Enric Corona Albert Pumarola Guillem Alenyà Francesc Moreno-Noguer 3DH 11 139 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 16 505 0 06 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 30 50 0 04 Apr 2019
Clique pooling for graph classification Enxhell Luzhnica Ben Day Pietro Lio GNN 16 36 0 31 Mar 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 30 410 0 28 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 39 18 0 26 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 26 54 0 19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 27 912 0 18 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 36 257 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,258 0 06 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 16 112 0 02 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 19 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 24 24 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 42 272 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 52 1,043 0 26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 28 63 0 25 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 35 135 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 56 3,109 0 19 Feb 2019
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model Sirin Haddad Meiqing Wu He Wei S. Lam 21 56 0 13 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara 24 11 0 13 Feb 2019
Size Independent Neural Transfer for RDDL Planning Sankalp Garg Aniket Bajpai Mausam OffRL 19 41 0 08 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 26 613 0 23 Jan 2019
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract] Yuxia Geng Jiaoyan Chen Ernesto Jiménez-Ruiz Huajun Chen 14 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 17 56 0 18 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 0 06 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 27 388 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 163 8,385 0 03 Jan 2019
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 23 275 0 26 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks Aravind Sankar Yanhong Wu Liang Gou Wei Zhang Hao Yang GNN 22 119 0 22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 33 5,416 0 20 Dec 2018
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 22 252 0 12 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning Prithviraj Ammanabrolu Mark O. Riedl GNN 23 121 0 04 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 0 27 Nov 2018
Graph Learning-Convolutional Networks Bo Jiang Ziyan Zhang Doudou Lin Jin Tang GNN SSL 33 5 0 25 Nov 2018
On Filter Size in Graph Convolutional Networks D. V. Tran Nicoló Navarin A. Sperduti GNN 49 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 25 47 0 21 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 17 18 0 17 Nov 2018
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 89 1,354 0 15 Nov 2018
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 22 32 0 08 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 21 188 0 05 Nov 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang Jialong Han Chenliang Li Rong Pan NAI GNN 22 156 0 04 Nov 2018