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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

50 / 2,949 papers shown
Title
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
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
162
0
08 May 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Drug-Drug Adverse Effect Prediction with Graph Co-Attention
Andreea Deac
Yu-Hsiang Huang
Petar Velickovic
Pietro Lio
Jian Tang
20
77
0
02 May 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified
  Neighborhood Mixing
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
21
882
0
30 Apr 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham
T. Nguyen
Jan Niehues
Markus Müller
Sebastian Stüker
A. Waibel
23
161
0
30 Apr 2019
Graph Convolutional Networks with EigenPooling
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
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
66
513
0
29 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
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
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
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDL
CML
GNN
21
476
0
22 Apr 2019
RepGN:Object Detection with Relational Proposal Graph Network
RepGN:Object Detection with Relational Proposal Graph Network
Xingjian Du
Xuan Shi
Risheng Huang
ObjD
22
8
0
18 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
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
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Xia Hu
AI4TS
GNN
27
100
0
18 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
Adaptive Hierarchical Down-Sampling for Point Cloud Classification
E. Nezhadarya
E. Taghavi
Ryan Razani
Bingbing Liu
Jun Luo
3DPC
25
107
0
11 Apr 2019
Factor Graph Attention
Factor Graph Attention
Idan Schwartz
Seunghak Yu
Tamir Hazan
A. Schwing
24
110
0
11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
19
47
0
09 Apr 2019
Context-aware Human Motion Prediction
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
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
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
Clique pooling for graph classification
Enxhell Luzhnica
Ben Day
Pietro Lio
GNN
14
36
0
31 Mar 2019
Learning Discrete Structures for Graph Neural Networks
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
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
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
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
M. Guo
27
912
0
18 Mar 2019
Relational Pooling for Graph Representations
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
36
256
0
06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
68
4,242
0
06 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
Meng Qu
Jian Tang
GNN
13
112
0
02 Mar 2019
Representation Learning for Recommender Systems with Application to the
  Scientific Literature
Representation Learning for Recommender Systems with Application to the Scientific Literature
Robin Brochier
16
5
0
28 Feb 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node
  Classification
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
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
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
1,041
0
26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial
  Observations
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
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
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
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
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
47
3,118
0
19 Feb 2019
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal
  Attention Model
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
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
Size Independent Neural Transfer for RDDL Planning
Sankalp Garg
Aniket Bajpai
Mausam
OffRL
13
41
0
08 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
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
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
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
26
612
0
23 Jan 2019
Human-centric Transfer Learning Explanation via Knowledge Graph
  [Extended Abstract]
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
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
12
56
0
18 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
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
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
25
388
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
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
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
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
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
33
5,406
0
20 Dec 2018
Neighbourhood Watch: Referring Expression Comprehension via
  Language-guided Graph Attention Networks
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
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