Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.04202
Cited By
Deep Learning on Graphs: A Survey
11 December 2018
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Deep Learning on Graphs: A Survey"
13 / 463 papers shown
Title
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
11
975
0
19 Jul 2019
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
33
74
0
10 Jul 2019
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
28
3
0
15 May 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OOD
AAML
34
218
0
20 Feb 2019
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
26
612
0
23 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
8,362
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
5,400
0
20 Dec 2018
Graph Convolutional Neural Networks based on Quantum Vertex Saliency
Lu Bai
Yuhang Jiao
Luca Rossi
Lixin Cui
Yue Wang
Edwin R. Hancock
GNN
9
31
0
04 Sep 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
279
1,944
0
09 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
206
885
0
07 Jun 2018
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,401
0
01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
Previous
1
2
3
...
10
8
9