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Graph Attention Networks

Graph Attention Networks

30 October 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lió
Yoshua Bengio
    GNN
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
63
510
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
19
476
0
22 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
24
99
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
19
107
0
11 Apr 2019
Factor Graph Attention
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
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
16
47
0
09 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
17
50
0
04 Apr 2019
Clique pooling for graph classification
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
11
41
0
08 Feb 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
30
40
0
24 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
22
227
0
06 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
159
8,356
0
03 Jan 2019
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
28
5,396
0
20 Dec 2018
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