Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 2,589 papers shown

Title
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 10 114 0 27 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 16 66 0 26 May 2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud Can Chen L. Z. Fragonara Antonios Tsourdos 3DPC 11 86 0 21 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 37 1,254 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 18 1,787 0 20 May 2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases Zhiqing Sun Jian Tang Pan Du Zhihong Deng Jian-Yun Nie 14 53 0 19 May 2019
Representation Learning on Visual-Symbolic Graphs for Video Understanding E. Mavroudi Benjamín Béjar Haro René Vidal 27 8 0 17 May 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader Wenhan Xiong Mo Yu Shiyu Chang Xiaoxiao Guo William Yang Wang RALM 26 114 0 17 May 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 22 288 0 15 May 2019
CoLight: Learning Network-level Cooperation for Traffic Signal Control Hua Wei Nan Xu Huichu Zhang Guanjie Zheng Xinshi Zang Chacha Chen Weinan Zhang Yanmin Zhu Kai Xu Z. Li 30 353 0 11 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 27 1,062 0 11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning Ronghang Hu Anna Rohrbach Trevor Darrell Kate Saenko 28 171 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 21 71 0 10 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 26 161 0 08 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lió Jian Tang 20 77 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 19 879 0 30 Apr 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition Ngoc-Quan Pham T. Nguyen J. Niehues Markus Müller Sebastian Stüker A. Waibel 23 161 0 30 Apr 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 63 510 0 29 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 22 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 20 1 0 23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 19 476 0 22 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 27 22 0 18 Apr 2019
Deep Representation Learning for Social Network Analysis Qiaoyu Tan Ninghao Liu Xia Hu AI4TS GNN 24 99 0 18 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun Luo 3DPC 19 107 0 11 Apr 2019
Factor Graph Attention Idan Schwartz Seunghak Yu Tamir Hazan A. Schwing 21 110 0 11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 16 47 0 09 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks Fengwen Chen Shirui Pan Jing Jiang Huan Huo Guodong Long GNN 17 50 0 04 Apr 2019
Clique pooling for graph classification Enxhell Luzhnica Ben Day Pietro Lió GNN 14 36 0 31 Mar 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks Jacob Nilsson Fredrik Sandin J. Delsing AI4CE 36 18 0 26 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning Megha Khosla Vinay Setty Avishek Anand SSL 18 54 0 19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li M. Guo 19 910 0 18 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 33 256 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,230 0 06 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Zhaocheng Zhu Shizhen Xu Meng Qu Jian Tang GNN 11 112 0 02 Mar 2019
Representation Learning for Recommender Systems with Application to the Scientific Literature Robin Brochier 9 5 0 28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 16 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 27 272 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 1,040 0 26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 30 89 0 25 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 32 135 0 21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 28 216 0 20 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 23 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 11 41 0 08 Feb 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 30 40 0 24 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 22 227 0 06 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 159 8,356 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 28 5,396 0 20 Dec 2018