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1710.10903
Cited By
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 / 2,571 papers shown
Title
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
17
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
14
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
17
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
21
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
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
39
1,320
0
11 Dec 2018
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Prithviraj Ammanabrolu
Mark O. Riedl
GNN
15
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
19
227
0
27 Nov 2018
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNN
SSL
21
5
0
25 Nov 2018
Contextualized Non-local Neural Networks for Sequence Learning
Pengfei Liu
Shuaichen Chang
Xuanjing Huang
Jian Tang
Jackie C.K. Cheung
19
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
19
1,347
0
15 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lió
GNN
35
257
0
03 Nov 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks
Alessandro Tibo
M. Jaeger
P. Frasconi
AI4CE
16
23
0
26 Oct 2018
Graph Convolutional Reinforcement Learning
Jiechuan Jiang
Chen Dun
Tiejun Huang
Zongqing Lu
GNN
11
335
0
22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
79
1,650
0
14 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun
Yue Wang
Ziwei Liu
J. Siegel
Sanjay E. Sarma
3DPC
23
195
0
12 Oct 2018
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
16
76
0
17 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
11
487
0
14 Sep 2018
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang
Shuiwang Ji
27
160
0
27 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai
Haoyang Ding
Song Bian
Ting-Li Chen
Yizhou Sun
Wei Wang
GNN
21
313
0
16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
16
586
0
12 Aug 2018
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