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Gated Graph Sequence Neural Networks
v1v2v3v4 (latest)

Gated Graph Sequence Neural Networks

17 November 2015
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
    GNN
ArXiv (abs)PDFHTML

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,396 papers shown
Title
Typilus: Neural Type Hints
Typilus: Neural Type Hints
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
146
134
0
06 Apr 2020
LiDAR-based Online 3D Video Object Detection with Graph-based Message
  Passing and Spatiotemporal Transformer Attention
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Junbo Yin
Jianbing Shen
Chenye Guan
Dingfu Zhou
Ruigang Yang
3DPC
82
139
0
03 Apr 2020
Consistent Multiple Sequence Decoding
Consistent Multiple Sequence Decoding
Bicheng Xu
Leonid Sigal
67
0
0
02 Apr 2020
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation
Francis Engelmann
M. Bokeloh
Alireza Fathi
Bastian Leibe
Matthias Nießner
3DPC
117
215
0
30 Mar 2020
Code Prediction by Feeding Trees to Transformers
Code Prediction by Feeding Trees to Transformers
Seohyun Kim
Jinman Zhao
Yuchi Tian
S. Chandra
153
220
0
30 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
184
123
0
26 Mar 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial
  Solvers
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek
Paul Swoboda
Dominik Zietlow
Anselm Paulus
Vít Musil
Georg Martius
92
113
0
25 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
177
59
0
23 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
242
233
0
23 Mar 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo
Liang Zhao
Cameron Nowzari
S. Rafatirad
Houman Homayoun
Sai Manoj P D
110
28
0
22 Mar 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in
  Automated Anatomical Labeling of Coronary Arteries
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Han Yang
Xingjian Zhen
Ying Chi
Lei Zhang
Xiansheng Hua
MedIm
53
46
0
19 Mar 2020
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human
  Motion Prediction
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
AI4CE3DH
147
309
0
17 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation
Spectral Graph Attention Network with Fast Eigen-approximation
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Somayeh Sojoudi
Junzhou Huang
Wenwu Zhu
GNN
82
34
0
16 Mar 2020
Collaborative Motion Prediction via Neural Motion Message Passing
Collaborative Motion Prediction via Neural Motion Message Passing
Yue Hu
Siheng Chen
Ya Zhang
Xiao Gu
66
105
0
14 Mar 2020
Meta-Learning GNN Initializations for Low-Resource Molecular Property
  Prediction
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction
Cuong C. Nguyen
Constantine Kreatsoulas
K. Branson
AI4CE
67
14
0
12 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
404
173
0
09 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing
PushNet: Efficient and Adaptive Neural Message Passing
Julian Busch
Jiaxing Pi
T. Seidl
GNN
106
12
0
04 Mar 2020
Learning to Generate Time Series Conditioned Graphs with Generative
  Adversarial Nets
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
Shanchao Yang
Jing Liu
K. Wu
Mingming Li
GANAI4CE
97
4
0
03 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement
  Learning
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
Haozhe Jasper Wang
Jiale Zhou
Xuming He
OffRLLRM
81
15
0
03 Mar 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Changmin Wu
Giannis Nikolentzos
Michalis Vazirgiannis
GNN
318
10
0
02 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAIAI4CE
84
80
0
29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine
An End-to-End Graph Convolutional Kernel Support Vector Machine
P. Corcoran
40
6
0
29 Feb 2020
A Deep Generative Model for Fragment-Based Molecule Generation
A Deep Generative Model for Fragment-Based Molecule Generation
Marco Podda
D. Bacciu
Alessio Micheli
VLMBDL
73
52
0
28 Feb 2020
Neural Message Passing on High Order Paths
Neural Message Passing on High Order Paths
Daniel Flam-Shepherd
Tony C Wu
Pascal Friederich
Alán Aspuru-Guzik
GNNAI4CE
113
50
0
24 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
163
91
0
21 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented
  Abstract Syntax Tree
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang
Ge Li
Bo Ma
Xin Xia
Zhi Jin
GNN
68
260
0
20 Feb 2020
A Lagrangian Approach to Information Propagation in Graph Neural
  Networks
A Lagrangian Approach to Information Propagation in Graph Neural Networks
Matteo Tiezzi
G. Marra
S. Melacci
Marco Maggini
Marco Gori
GNN
60
9
0
18 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Han Yang
Xiao Yan
XINYAN DAI
Yongqiang Chen
James Cheng
131
36
0
18 Feb 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a
  Graph-to-Sequence Neural Model
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
Steve Kommrusch
Théo Barollet
L. Pouchet
119
6
0
17 Feb 2020
Relational Message Passing for Knowledge Graph Completion
Relational Message Passing for Knowledge Graph Completion
Hongwei Wang
Hongyu Ren
J. Leskovec
88
120
0
17 Feb 2020
Graph Deconvolutional Generation
Graph Deconvolutional Generation
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
BDL
152
31
0
14 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
147
155
0
13 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
360
1,132
0
13 Feb 2020
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph
  Learning Models
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models
Xiao Zang
Yi Xie
Jie Chen
Bo Yuan
AAML
76
48
0
12 Feb 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
72
88
0
11 Feb 2020
Learning Structured Communication for Multi-agent Reinforcement Learning
Learning Structured Communication for Multi-agent Reinforcement Learning
Junjie Sheng
Xiangfeng Wang
Bo Jin
Junchi Yan
Wenhao Li
Tsung-Hui Chang
Jun Wang
H. Zha
44
52
0
11 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for
  Security Tasks
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks
Shushan Arakelyan
Sima Arasteh
Christophe Hauser
Erik Kline
Aram Galstyan
83
20
0
09 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
141
289
0
08 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNNAAML
85
240
0
08 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
73
44
0
06 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph
  Embedding
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
Xinyu Fu
Jiani Zhang
Ziqiao Meng
Irwin King
141
887
0
05 Feb 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
118
146
0
03 Feb 2020
Molecule Property Prediction and Classification with Graph Hypernetworks
Molecule Property Prediction and Classification with Graph Hypernetworks
Eliya Nachmani
Lior Wolf
GNN
62
15
0
01 Feb 2020
Hybrid Graph Neural Networks for Crowd Counting
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo
Fan Yang
Xin Li
Dong Nie
Zhicheng Jiao
Shangchen Zhou
Hong Cheng
95
85
0
31 Jan 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Yuyu Zhang
Xinshi Chen
Yu’an Yang
Arun Ramamurthy
Yue Liu
Yuan Qi
Le Song
AI4CE
174
111
0
29 Jan 2020
Modeling Global and Local Node Contexts for Text Generation from
  Knowledge Graphs
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Leonardo F. R. Ribeiro
Yue Zhang
Claire Gardent
Iryna Gurevych
61
73
0
29 Jan 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino
Adria Puigdomenech Badia
Raphael Köster
Martin Chadwick
V. Zambaldi
Demis Hassabis
Caswell Barry
M. Botvinick
D. Kumaran
Charles Blundell
KELM
90
35
0
29 Jan 2020
Theoretically Expressive and Edge-aware Graph Learning
Theoretically Expressive and Edge-aware Graph Learning
Federico Errica
D. Bacciu
Alessio Micheli
43
6
0
24 Jan 2020
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
Wenguan Wang
Xiankai Lu
Jianbing Shen
David J. Crandall
Ling Shao
VOS
97
275
0
19 Jan 2020
Graph Inference Learning for Semi-supervised Classification
Graph Inference Learning for Semi-supervised Classification
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Jian Yang
Wei Liu
70
30
0
17 Jan 2020
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