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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
Scalable Graph Learning for Anti-Money Laundering: A First Look
Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber
Jie Chen
Toyotaro Suzumura
A. Pareja
Tengfei Ma
H. Kanezashi
Tim Kaler
C. E. Leiserson
Tao B. Schardl
76
105
0
30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark Coates
Deniz Üstebay
GNNBDL
91
229
0
27 Nov 2018
Stacked Spatio-Temporal Graph Convolutional Networks for Action
  Segmentation
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation
P. Ghosh
Yi Yao
L. Davis
Ajay Divakaran
136
81
0
26 Nov 2018
On Filter Size in Graph Convolutional Networks
On Filter Size in Graph Convolutional Networks
D. V. Tran
Nicoló Navarin
A. Sperduti
GNN
88
50
0
23 Nov 2018
Graph Refinement based Airway Extraction using Mean-Field Networks and
  Graph Neural Networks
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Raghavendra Selvan
Thomas Kipf
Max Welling
Antonio Garcia-Uceda Juarez
J. Pedersen
Jens Petersen
Marleen de Bruijne
72
12
0
21 Nov 2018
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
86
392
0
17 Nov 2018
Pre-training Graph Neural Networks with Kernels
Pre-training Graph Neural Networks with Kernels
Nicoló Navarin
D. V. Tran
A. Sperduti
96
28
0
16 Nov 2018
Gaussian-Induced Convolution for Graphs
Gaussian-Induced Convolution for Graphs
Jiatao Jiang
Zhen Cui
Chunyan Xu
Jian Yang
78
24
0
11 Nov 2018
A simple yet effective baseline for non-attributed graph classification
A simple yet effective baseline for non-attributed graph classification
Chen Cai
Yusu Wang
176
33
0
08 Nov 2018
Fast OBDD Reordering using Neural Message Passing on Hypergraph
Fast OBDD Reordering using Neural Message Passing on Hypergraph
Geon-min Kim
Hwaran Lee
Bo-Kyeong Kim
Soo-Young Lee
AI4CE
26
2
0
06 Nov 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
119
212
0
05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lio
GNN
222
261
0
03 Nov 2018
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep
  Reinforcement Learning
Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning
M. Kusumoto
Keisuke Yahata
Masahiro Sakai
AIMatLRM
66
11
0
02 Nov 2018
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent
  Neural Network
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network
Xiaoyu Wang
Cailian Chen
Yang Min
Jianping He
Bo-Jun Yang
Yangchao Zhang
GNNAI4TS
64
43
0
02 Nov 2018
Modeling Attention Flow on Graphs
Modeling Attention Flow on Graphs
Xiaoran Xu
Songpeng Zu
Chengliang Gao
Yuan Zhang
Wei Feng
GNN
79
11
0
01 Nov 2018
SARN: Relational Reasoning through Sequential Attention
SARN: Relational Reasoning through Sequential Attention
Jinwon An
Sungwon Lyu
Sungzoon Cho
GNN
18
1
0
01 Nov 2018
Online Planner Selection with Graph Neural Networks and Adaptive
  Scheduling
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Tengfei Ma
Patrick Ferber
Siyu Huo
Jie Chen
Michael Katz
91
33
0
01 Nov 2018
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
117
1,574
0
01 Nov 2018
Learning to Represent Edits
Learning to Represent Edits
Pengcheng Yin
Graham Neubig
Miltiadis Allamanis
Marc Brockschmidt
Alexander L. Gaunt
KELM
88
112
0
31 Oct 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection
Hybrid Knowledge Routed Modules for Large-scale Object Detection
Chenhan Jiang
Hang Xu
Xiangdan Liang
Liang Lin
VLMObjD
86
88
0
30 Oct 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
104
172
0
29 Oct 2018
Deep learning long-range information in undirected graphs with wave
  networks
Deep learning long-range information in undirected graphs with wave networks
Matthew K. Matlock
Arghya Datta
N. Dang
Kevin Jiang
S. Joshua Swamidass
GNN
57
15
0
29 Oct 2018
Towards Efficient Large-Scale Graph Neural Network Computing
Towards Efficient Large-Scale Graph Neural Network Computing
Lingxiao Ma
Zhi-Xin Yang
Youshan Miao
Jilong Xue
Ming Wu
Lidong Zhou
Yafei Dai
GNN
66
16
0
19 Oct 2018
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic
Badal Singh
Anima Anandkumar
71
50
0
18 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
229
1,704
0
14 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
104
280
0
12 Oct 2018
Set Aggregation Network as a Trainable Pooling Layer
Set Aggregation Network as a Trainable Pooling Layer
Lukasz Maziarka
Marek Śmieja
A. Nowak
Jacek Tabor
Lukasz Struski
Przemysław Spurek
SSegFAttAI4TS
38
2
0
03 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
313
7,747
0
01 Oct 2018
Graph Neural Networks for IceCube Signal Classification
Graph Neural Networks for IceCube Signal Classification
Nicholas Choma
Federico Monti
Lisa Gerhardt
T. Palczewski
Z. Ronaghi
P. Prabhat
W. Bhimji
M. Bronstein
S. Klein
Joan Bruna
125
76
0
17 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes
Bayesian Semi-supervised Learning with Graph Gaussian Processes
Yin Cheng Ng
Nicolo Colombo
Ricardo M. A. Silva
BDL
93
90
0
12 Sep 2018
Higher-order Graph Convolutional Networks
Higher-order Graph Convolutional Networks
J. B. Lee
Ryan A. Rossi
Xiangnan Kong
Sungchul Kim
Eunyee Koh
Anup B. Rao
GNN
74
36
0
12 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection
Context-Dependent Diffusion Network for Visual Relationship Detection
Zhen Cui
Chunyan Xu
Wenming Zheng
Jian Yang
GNN
79
50
0
11 Sep 2018
Neural Guided Constraint Logic Programming for Program Synthesis
Neural Guided Constraint Logic Programming for Program Synthesis
Lisa Zhang
Gregory Rosenblatt
Ethan Fetaya
Renjie Liao
William E. Byrd
M. Might
R. Urtasun
R. Zemel
NAI
147
30
0
08 Sep 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and
  Text
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Haitian Sun
Bhuwan Dhingra
Manzil Zaheer
Kathryn Mazaitis
Ruslan Salakhutdinov
William W. Cohen
116
418
0
04 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
41
1
0
30 Aug 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks
Learning Human-Object Interactions by Graph Parsing Neural Networks
Siyuan Qi
Wenguan Wang
Baoxiong Jia
Jianbing Shen
Song-Chun Zhu
GNN
97
539
0
23 Aug 2018
Peptide-Spectra Matching from Weak Supervision
Peptide-Spectra Matching from Weak Supervision
S. Schoenholz
Sean Hackett
Laura Deming
E. Melamud
Navdeep Jaitly
...
Jonathon J. O’Brien
George E. Dahl
Bryson D. Bennett
Andrew M. Dai
D. Koller
OOD
28
10
0
20 Aug 2018
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base
  Question Answering
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
Daniil Sorokin
Iryna Gurevych
GNN
78
98
0
13 Aug 2018
Relational dynamic memory networks
Relational dynamic memory networks
Trang Pham
T. Tran
Svetha Venkatesh
GNN
37
3
0
10 Aug 2018
Message Passing Graph Kernels
Message Passing Graph Kernels
Giannis Nikolentzos
Michalis Vazirgiannis
57
7
0
07 Aug 2018
A survey on Deep Learning Advances on Different 3D Data Representations
A survey on Deep Learning Advances on Different 3D Data Representations
Eman Ahmed
Alexandre Saint
Abd El Rahman Shabayek
K. Cherenkova
Rig Das
Gleb Gusev
Djamila Aouada
Björn E. Ottersten
AI4TS3DPC
70
95
0
04 Aug 2018
Stochastic Gradient Descent with Biased but Consistent Gradient
  Estimators
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators
Jie Chen
Ronny Luss
115
45
0
31 Jul 2018
Message-passing neural networks for high-throughput polymer screening
Message-passing neural networks for high-throughput polymer screening
Peter C. St. John
Caleb Phillips
Travis W. Kemper
A. N. Wilson
M. Crowley
M. Nimlos
R. Larsen
AI4CE
86
112
0
26 Jul 2018
Unsupervised Learning of Latent Physical Properties Using
  Perception-Prediction Networks
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks
David Zheng
V. Luo
Jiajun Wu
J. Tenenbaum
SSLDRLAI4CE
74
53
0
24 Jul 2018
BayesGrad: Explaining Predictions of Graph Convolutional Networks
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Hirotaka Akita
Kosuke Nakago
Tomoki Komatsu
Yohei Sugawara
S. Maeda
Yukino Baba
H. Kashima
FAttOODBDL
48
8
0
04 Jul 2018
Knowledge-Embedded Representation Learning for Fine-Grained Image
  Recognition
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
Yang Wu
Xiaonan Luo
105
83
0
02 Jul 2018
Deep Reasoning with Knowledge Graph for Social Relationship
  Understanding
Deep Reasoning with Knowledge Graph for Social Relationship Understanding
Zhouxia Wang
Tianshui Chen
Jimmy S. J. Ren
Weihao Yu
Hui Cheng
Liang Lin
GNN
103
176
0
02 Jul 2018
Structure Inference Net: Object Detection Using Scene-Level Context and
  Instance-Level Relationships
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
Yong-Jin Liu
Ruiping Wang
Shiguang Shan
Xilin Chen
ObjD
105
229
0
30 Jun 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck
Gholamreza Haffari
Trevor Cohn
GNN
79
326
0
26 Jun 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with
  Applications to Molecules
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Shengchao Liu
M. F. Demirel
Yingyu Liang
GNNNAI
75
199
0
24 Jun 2018
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