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Gated Graph Sequence Neural Networks

Gated Graph Sequence Neural Networks

17 November 2015
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
    GNN
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Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,391 papers shown
Title
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CE
GNN
51
277
0
29 Dec 2019
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender
  Systems [Phd. Thesis]
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]
Gabriel de Souza Pereira Moreira
GNN
29
2
0
29 Dec 2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Songtao He
Favyen Bastani
Satvat Jagwani
Edward Park
Sofiane Abbar
Mohammad Alizadeh
H. Balakrishnan
Sanjay Chawla
Samuel Madden
M. Sadeghi
21
34
0
28 Dec 2019
A Review on Intelligent Object Perception Methods Combining
  Knowledge-based Reasoning and Machine Learning
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis
Alexandros Vassiliades
T. Patkos
Antonis Argyros
Nick Bassiliades
Dimitris Plexousakis
OCL
29
12
0
26 Dec 2019
Neural Subgraph Isomorphism Counting
Neural Subgraph Isomorphism Counting
Xin Liu
Haojie Pan
Mutian He
Yangqiu Song
Xin Jiang
Lifeng Shang
GNN
28
78
0
25 Dec 2019
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional
  Networks for Skeleton-based Action Recognition
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition
Jialin Gao
Tong He
Xiaoping Zhou
Shiming Ge
21
18
0
24 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with
  Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Tengfei Ma
Jie Chen
30
24
0
24 Dec 2019
Learning and Evaluating Contextual Embedding of Source Code
Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade
Petros Maniatis
Gogul Balakrishnan
Kensen Shi
ELM
19
76
0
21 Dec 2019
Vertex Feature Encoding and Hierarchical Temporal Modeling in a
  Spatial-Temporal Graph Convolutional Network for Action Recognition
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition
Konstantinos Papadopoulos
Enjie Ghorbel
Djamila Aouada
Björn E. Ottersten
GNN
93
42
0
20 Dec 2019
Graph Convolutional Networks: analysis, improvements and results
Graph Convolutional Networks: analysis, improvements and results
I. Ullah
M. Manzo
M. Shah
Michael G. Madden
GNN
16
51
0
19 Dec 2019
CoulGAT: An Experiment on Interpretability of Graph Attention Networks
CoulGAT: An Experiment on Interpretability of Graph Attention Networks
B. Gokden
GNN
11
5
0
18 Dec 2019
Deep Iterative and Adaptive Learning for Graph Neural Networks
Deep Iterative and Adaptive Learning for Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J Zaki
GNN
27
46
0
17 Dec 2019
Estimating Early Fundraising Performance of Innovations via Graph-based
  Market Environment Model
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Likang Wu
Zhi Li
Hongke Zhao
Zhen Pan
Qi Liu
Enhong Chen
17
19
0
14 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
27
129
0
06 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
28
278
0
27 Nov 2019
On the Robustness of Deep Learning-predicted Contention Models for
  Network Calculus
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
Fabien Geyer
Steffen Bondorf
OOD
17
8
0
24 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs
Discrete and Continuous Deep Residual Learning Over Graphs
Pedro H. C. Avelar
Anderson R. Tavares
Marco Gori
Luís C. Lamb
GNN
30
20
0
21 Nov 2019
Relation Network for Person Re-identification
Relation Network for Person Re-identification
Hyunjong Park
Bumsub Ham
14
125
0
21 Nov 2019
Heterogeneous Deep Graph Infomax
Heterogeneous Deep Graph Infomax
Yuxiang Ren
Bo Liu
Chao Huang
Peng Dai
Liefeng Bo
Jiawei Zhang
25
102
0
19 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph
  Representations
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan
Soumya Sanyal
Partha P. Talukdar
GNN
23
330
0
18 Nov 2019
Graph Transformer for Graph-to-Sequence Learning
Graph Transformer for Graph-to-Sequence Learning
Deng Cai
W. Lam
32
221
0
18 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAI
AI4CE
29
388
0
16 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
M. Li
Meng Dong
Jiawei Zhou
Alexander M. Rush
AI4CE
GNN
36
7
0
13 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph
  Modeling
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Yadan Luo
Zi Huang
Zheng-Wei Zhang
Ziwei Wang
Mahsa Baktashmotlagh
Yang Yang
CLL
BDL
17
23
0
12 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving
  General Graph Neural Network
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network
Deli Chen
Xiaoqian Liu
Yankai Lin
Peng Li
Jie Zhou
Qi Su
Xu Sun
GNN
17
2
0
10 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
33
12
0
08 Nov 2019
Building Segmentation through a Gated Graph Convolutional Neural Network
  with Deep Structured Feature Embedding
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding
Yilei Shi
Qingyu Li
X. Zhu
11
109
0
08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing
Neural Graph Embedding Methods for Natural Language Processing
Shikhar Vashishth
GNN
22
9
0
08 Nov 2019
SENSE: Semantically Enhanced Node Sequence Embedding
SENSE: Semantically Enhanced Node Sequence Embedding
S. Rallapalli
Liang Ma
M. Srivatsa
A. Swami
H. Kwon
Graham A. Bent
Christopher Simpkin
8
3
0
07 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks
Learning to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
GNN
18
62
0
04 Nov 2019
Visual Relationship Detection with Relative Location Mining
Visual Relationship Detection with Relative Location Mining
Hao Zhou
Chongyang Zhang
Chuanping Hu
ObjD
29
16
0
02 Nov 2019
Balancing Multi-level Interactions for Session-based Recommendation
Balancing Multi-level Interactions for Session-based Recommendation
Yujia Zheng
Siyi Liu
Zailei Zhou
22
12
0
29 Oct 2019
Learning Transferable Graph Exploration
Learning Transferable Graph Exploration
H. Dai
Yujia Li
Chenglong Wang
Rishabh Singh
Po-Sen Huang
Pushmeet Kohli
17
21
0
28 Oct 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
32
630
0
28 Oct 2019
Hyperbolic Graph Neural Networks
Hyperbolic Graph Neural Networks
Qi Liu
Maximilian Nickel
Douwe Kiela
AI4CE
GNN
45
371
0
28 Oct 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
53
686
0
28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any
  Architecture are Gaussian Processes
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
33
193
0
28 Oct 2019
TreeCaps: Tree-Structured Capsule Networks for Program Source Code
  Processing
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing
Vinoj Jayasundara
Nghi D. Q. Bui
Lingxiao Jiang
David Lo
28
16
0
27 Oct 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph
  Learning
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Soumyasundar Pal
Florence Regol
Mark J. Coates
BDL
GNN
16
13
0
26 Oct 2019
Topological based classification using graph convolutional networks
Topological based classification using graph convolutional networks
R. Abel
I. Benami
Y. Louzoun
GNN
19
5
0
26 Oct 2019
Neural Execution of Graph Algorithms
Neural Execution of Graph Algorithms
Petar Velickovic
Rex Ying
Matilde Padovano
R. Hadsell
Charles Blundell
GNN
30
164
0
23 Oct 2019
Relation Modeling with Graph Convolutional Networks for Facial Action
  Unit Detection
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection
Zhilei Liu
Jiahui Dong
Cuicui Zhang
Longbiao Wang
J. Dang
CVBM
9
66
0
23 Oct 2019
Personalized Graph Neural Networks with Attention Mechanism for
  Session-Aware Recommendation
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation
Mengqi Zhang
Shu Wu
Meng Gao
Xin Jiang
Ke Xu
Liang Wang
27
43
0
20 Oct 2019
Natural Question Generation with Reinforcement Learning Based
  Graph-to-Sequence Model
Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model
Yu Chen
Lingfei Wu
Mohammed J Zaki
19
11
0
19 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
56
186
0
16 Oct 2019
Adversarial Examples for Models of Code
Adversarial Examples for Models of Code
Noam Yefet
Uri Alon
Eran Yahav
SILM
AAML
MLAU
26
163
0
15 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPC
GNN
37
168
0
15 Oct 2019
Disentangling Interpretable Generative Parameters of Random and
  Real-World Graphs
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs
Niklas Stoehr
Emine Yilmaz
Marc Brockschmidt
Jan Stuehmer
BDL
CML
DRL
27
14
0
12 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
22
216
0
12 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action
  Recognition and Motion Prediction
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
Maosen Li
Siheng Chen
Xu Chen
Ya Zhang
Yanfeng Wang
D. Ebert
3DH
21
185
0
05 Oct 2019
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