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Geometric graphs from data to aid classification tasks with graph
  convolutional networks

Geometric graphs from data to aid classification tasks with graph convolutional networks

8 May 2020
Yifan Qian
P. Expert
P. Panzarasa
Mauricio Barahona
    GNN
ArXivPDFHTML

Papers citing "Geometric graphs from data to aid classification tasks with graph convolutional networks"

26 / 26 papers shown
Title
Semi-supervised classification on graphs using explicit diffusion
  dynamics
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach
Alexis Arnaudon
Mauricio Barahona
GNN
DiffM
35
15
0
24 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
80
1,104
0
07 Sep 2019
Graph-based data clustering via multiscale community detection
Graph-based data clustering via multiscale community detection
Zijing Liu
Mauricio Barahona
15
47
0
06 Sep 2019
Quantifying the Alignment of Graph and Features in Deep Learning
Quantifying the Alignment of Graph and Features in Deep Learning
Yifan Qian
P. Expert
Tom Rieu
P. Panzarasa
Mauricio Barahona
45
19
0
30 May 2019
Learning Discrete Structures for Graph Neural Networks
Learning Discrete Structures for Graph Neural Networks
Luca Franceschi
Mathias Niepert
Massimiliano Pontil
X. He
GNN
66
410
0
28 Mar 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
717
8,517
0
03 Jan 2019
Combinatorial Optimization with Graph Convolutional Networks and Guided
  Tree Search
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
Zhuwen Li
Qifeng Chen
V. Koltun
GNN
94
475
0
25 Oct 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for
  Predictive Healthcare
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi
Cao Xiao
Walter F. Stewart
Jimeng Sun
145
236
0
22 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
122
2,382
0
27 Sep 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNN
AI4CE
74
541
0
15 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNN
BDL
250
3,535
0
06 Jun 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
153
1,067
0
21 May 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
255
6,132
0
24 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
180
2,820
0
22 Jan 2018
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu
M. Simonovsky
GNN
3DPC
174
1,253
0
27 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNN
NAI
117
799
0
01 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
440
20,089
0
30 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
110
3,705
0
14 Sep 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
466
15,218
0
07 Jun 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti
M. Bronstein
Xavier Bresson
GNN
168
522
0
22 Apr 2017
Scene Graph Generation by Iterative Message Passing
Scene Graph Generation by Iterative Message Passing
Danfei Xu
Yuke Zhu
Chris Choy
Li Fei-Fei
GNN
3DV
78
1,220
0
10 Jan 2017
FMA: A Dataset For Music Analysis
FMA: A Dataset For Music Analysis
M. Defferrard
Kirell Benzi
P. Vandergheynst
Xavier Bresson
102
440
0
06 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
773
3,282
0
24 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
94
675
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
591
28,999
0
09 Sep 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
209
3,345
0
30 Sep 2015
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