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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 Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
40
120
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
26
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
88
56
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
164
226
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
45
27
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
19
43
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
AI4CE
3DH
93
304
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
52
32
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
27
103
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
22
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
184
172
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
35
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
GAN
AI4CE
53
3
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
OffRL
LRM
27
14
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
21
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
NAI
AI4CE
33
78
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
18
5
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
VLM
BDL
14
51
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
GNN
AI4CE
24
49
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
29
90
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
18
250
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
24
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
13
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
30
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
14
118
0
17 Feb 2020
Graph Deconvolutional Generation
Graph Deconvolutional Generation
Daniel Flam-Shepherd
Tony C Wu
Alán Aspuru-Guzik
BDL
28
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
64
152
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
169
1,085
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
29
47
0
12 Feb 2020
Adversarial Robustness for Code
Adversarial Robustness for Code
Pavol Bielik
Martin Vechev
AAML
22
89
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
23
50
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
22
18
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
28
279
0
08 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
13
232
0
08 Feb 2020
Supervised Learning on Relational Databases with Graph Neural Networks
Supervised Learning on Relational Databases with Graph Neural Networks
Milan Cvitkovic
23
42
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
28
844
0
05 Feb 2020
Gated Graph Recurrent Neural Networks
Gated Graph Recurrent Neural Networks
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
26
139
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
19
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
28
84
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
Bo-wen Li
Yuan Qi
Le Song
AI4CE
17
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
16
72
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
26
33
0
29 Jan 2020
Theoretically Expressive and Edge-aware Graph Learning
Theoretically Expressive and Edge-aware Graph Learning
Federico Errica
D. Bacciu
Alessio Micheli
14
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
18
272
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
24
30
0
17 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
28
8
0
13 Jan 2020
Bridging Knowledge Graphs to Generate Scene Graphs
Bridging Knowledge Graphs to Generate Scene Graphs
Alireza Zareian
Svebor Karaman
Shih-Fu Chang
21
209
0
07 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
Retrosynthesis Prediction with Conditional Graph Logic Network
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
26
177
0
06 Jan 2020
Learning Global and Local Consistent Representations for Unsupervised
  Image Retrieval via Deep Graph Diffusion Networks
Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks
Zhiyong Dou
Haotian Cui
Lin Zhang
Bo Wang
DiffM
GNN
18
6
0
05 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from
  Graph Topology to Applications
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications
Ljubisa Stankovic
Danilo P. Mandic
M. Daković
M. Brajović
Bruno Scalzo
Shengxi Li
A. Constantinides
31
23
0
02 Jan 2020
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