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Graph Neural Networks: Taxonomy, Advances and Trends

Graph Neural Networks: Taxonomy, Advances and Trends

16 December 2020
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
    AI4TS
ArXivPDFHTML

Papers citing "Graph Neural Networks: Taxonomy, Advances and Trends"

50 / 339 papers shown
Title
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
209
4,124
0
23 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
161
2,796
0
22 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
99
750
0
10 Jan 2018
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
68
167
0
07 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
134
1,245
0
27 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
223
8,867
0
21 Nov 2017
Residual Gated Graph ConvNets
Residual Gated Graph ConvNets
Xavier Bresson
T. Laurent
GNN
109
478
0
20 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
Chung-Wei Lee
Wei Fang
Chih-Kuan Yeh
Y. Wang
VLM
124
280
0
17 Nov 2017
Hybrid Approach of Relation Network and Localized Graph Convolutional
  Filtering for Breast Cancer Subtype Classification
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
SungMin Rhee
Seokjun Seo
Sun Kim
GNN
71
174
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
161
1,237
0
10 Nov 2017
Learning to Represent Programs with Graphs
Learning to Represent Programs with Graphs
Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
GNN
NAI
103
799
0
01 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
350
19,991
0
30 Oct 2017
Topology Adaptive Graph Convolutional Networks
Topology Adaptive Graph Convolutional Networks
Jian Du
Shanghang Zhang
Guanhang Wu
José M. F. Moura
S. Kar
GNN
62
302
0
28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
57
388
0
27 Oct 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
109
4,584
0
26 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
251
9,687
0
25 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
86
3,675
0
14 Sep 2017
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Daniel Oñoro-Rubio
Mathias Niepert
Alberto García-Durán
Roberto Gonzalez
Roberto J. López-Sastre
47
15
0
07 Sep 2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
Hoifung Poon
Chris Quirk
Kristina Toutanova
Wen-tau Yih
53
509
0
12 Aug 2017
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented
  Action Prediction
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
Liang Lin
Lili Huang
Tianshui Chen
Yukang Gan
Hui Cheng
29
16
0
15 Jul 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
137
115
0
22 Jun 2017
VAIN: Attentional Multi-agent Predictive Modeling
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
GNN
81
237
0
19 Jun 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
73
329
0
18 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
492
129,831
0
12 Jun 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
94
1,253
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
408
15,066
0
07 Jun 2017
Visual Interaction Networks
Visual Interaction Networks
Nicholas Watters
Andrea Tacchetti
T. Weber
Razvan Pascanu
Peter W. Battaglia
Daniel Zoran
PINN
3DH
74
277
0
05 Jun 2017
A simple neural network module for relational reasoning
A simple neural network module for relational reasoning
Adam Santoro
David Raposo
David Barrett
Mateusz Malinowski
Razvan Pascanu
Peter W. Battaglia
Timothy Lillicrap
GNN
NAI
117
1,610
0
05 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
143
658
0
22 May 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
40
87
0
26 Apr 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
112
519
0
22 Apr 2017
Dynamic Graph Convolutional Networks
Dynamic Graph Convolutional Networks
Franco Manessi
A. Rozza
M. Manzo
GNN
66
368
0
20 Apr 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
GNN
79
492
0
15 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
M. Simonovsky
N. Komodakis
GNN
155
1,227
0
10 Apr 2017
Conversation Modeling on Reddit using a Graph-Structured LSTM
Conversation Modeling on Reddit using a Graph-Structured LSTM
Vicky Zayats
Mari Ostendorf
61
84
0
07 Apr 2017
Learning Combinatorial Optimization Algorithms over Graphs
Learning Combinatorial Optimization Algorithms over Graphs
H. Dai
Elias Boutros Khalil
Yuyu Zhang
B. Dilkina
Le Song
90
1,453
0
05 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
314
7,388
0
04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
153
4,772
0
17 Mar 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
NAI
54
830
0
14 Mar 2017
Interpretable Structure-Evolving LSTM
Interpretable Structure-Evolving LSTM
Xiaodan Liang
Liang Lin
Xiaohui Shen
Jiashi Feng
Shuicheng Yan
Eric Xing
59
96
0
08 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application
  to Functional Brain Networks
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
S. Ktena
Sarah Parisot
Enzo Ferrante
Martin Rajchl
M. J. Lee
Ben Glocker
Daniel Rueckert
GNN
99
194
0
07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
60
140
0
02 Mar 2017
Discovering objects and their relations from entangled scene
  representations
Discovering objects and their relations from entangled scene representations
David Raposo
Adam Santoro
David Barrett
Razvan Pascanu
Timothy Lillicrap
Peter W. Battaglia
GNN
OCL
66
71
0
16 Feb 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
64
1,214
0
10 Jan 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
85
764
0
22 Dec 2016
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNN
OCL
79
345
0
14 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas Guibas
GNN
3DPC
120
467
0
02 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
333
439
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
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
459
1,405
0
01 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
123
1,472
0
29 Nov 2016
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