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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
Graph Neural Networks Exponentially Lose Expressive Power for Node
  Classification
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Kenta Oono
Taiji Suzuki
GNN
100
29
0
27 May 2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and
  Temporal-Guided Embedding
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Doyup Lee
Suehun Jung
Yeongjae Cheon
Dongil Kim
Seungil You
AI4TS
58
6
0
26 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A
  Novel Graph Neural Network Approach
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
Li Zeng
Yuhui Ding
Muhao Chen
Yizhou Sun
Zhong Liu
GNN
77
68
0
24 May 2019
Adversarial Learned Molecular Graph Inference and Generation
Adversarial Learned Molecular Graph Inference and Generation
Sebastian Polsterl
Christian Wachinger
GAN
122
7
0
24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving
Graph Representations for Higher-Order Logic and Theorem Proving
Aditya Sanjay Paliwal
Sarah M. Loos
M. Rabe
Kshitij Bansal
Christian Szegedy
AI4CENoLa
206
98
0
24 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting
  Structured Entity Interactions
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu
Peijie Wang
Long Chen
Jing Tao
Junzhou Zhao
GNN
90
94
0
23 May 2019
Look Again at the Syntax: Relational Graph Convolutional Network for
  Gendered Ambiguous Pronoun Resolution
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution
Yinchuan Xu
Junlin Yang
GNN
60
21
0
21 May 2019
Looking to Relations for Future Trajectory Forecast
Looking to Relations for Future Trajectory Forecast
Chiho Choi
Behzad Dariush
82
65
0
21 May 2019
Mutual Information Maximization in Graph Neural Networks
Mutual Information Maximization in Graph Neural Networks
Xinhan Di
Pengqian Yu
Rui Bu
Mingchao Sun
73
21
0
21 May 2019
Generating Logical Forms from Graph Representations of Text and Entities
Generating Logical Forms from Graph Representations of Text and Entities
Peter Shaw
Philip Massey
Angelica Chen
Francesco Piccinno
Yasemin Altun
GNNAI4CENAI
77
38
0
21 May 2019
Inferring Javascript types using Graph Neural Networks
Inferring Javascript types using Graph Neural Networks
Jessica Schrouff
Kai Wohlfahrt
Bruno Marnette
Liam Atkinson
NAIGNN
58
7
0
16 May 2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data
IPC: A Benchmark Data Set for Learning with Graph-Structured Data
Patrick Ferber
Tengfei Ma
Siyu Huo
Jie Chen
Michael Katz
PINN
70
5
0
15 May 2019
3D Point Cloud Generative Adversarial Network Based on Tree Structured
  Graph Convolutions
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
Dong Wook Shu
Sung Woo Park
Junseok Kwon
3DPC
128
286
0
15 May 2019
Function Space Pooling For Graph Convolutional Networks
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
177
3
0
15 May 2019
Representing Schema Structure with Graph Neural Networks for Text-to-SQL
  Parsing
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin
Matt Gardner
Jonathan Berant
NAIGNN
53
181
0
15 May 2019
Embeddings and Representation Learning for Structured Data
Embeddings and Representation Learning for Structured Data
Benjamin Paassen
Claudio Gallicchio
Alessio Micheli
A. Sperduti
51
7
0
15 May 2019
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and
  Inference
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
Lukas Galke
Iacopo Vagliano
A. Scherp
CLLGNNOnRLAI4CE
56
10
0
15 May 2019
Learning Scalable and Precise Representation of Program Semantics
Learning Scalable and Precise Representation of Program Semantics
Ke Wang
NAI
66
28
0
13 May 2019
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph
  Classification
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting-Li Chen
Song Bian
Yizhou Sun
110
88
0
11 May 2019
Language-Conditioned Graph Networks for Relational Reasoning
Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu
Anna Rohrbach
Trevor Darrell
Kate Saenko
87
175
0
10 May 2019
Time-Series Event Prediction with Evolutionary State Graph
Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu
Yang Yang
Zilong You
Zongtao Liu
Xiang Ren
AI4TS
47
1
0
10 May 2019
Adversarial Defense Framework for Graph Neural Network
Adversarial Defense Framework for Graph Neural Network
Shen Wang
Zhengzhang Chen
Jingchao Ni
Xiao Yu
Zhichun Li
Haifeng Chen
Philip S. Yu
AAMLGNN
71
28
0
09 May 2019
PiNet: A Permutation Invariant Graph Neural Network for Graph
  Classification
PiNet: A Permutation Invariant Graph Neural Network for Graph Classification
Peter Meltzer
Marcelo Daniel Gutierrez Mallea
Peter J Bentley
GNN
72
12
0
08 May 2019
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
Aditya Sanjay Paliwal
Felix Gimeno
Vinod Nair
Yujia Li
Miles Lubin
Pushmeet Kohli
Oriol Vinyals
OffRLGNN
99
67
0
07 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli
Simone Scardapane
A. Uncini
MedImAI4CE
91
155
0
06 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim
Taesup Kim
Sungwoong Kim
Chang D. Yoo
104
458
0
04 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for
  Few-Shot Learning
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Spyros Gidaris
N. Komodakis
97
231
0
03 May 2019
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural
  Networks and Kalman Filter
Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
Xincheng Xiong
K. Ozbay
Li Jin
Chen Feng
AI4TS
91
49
0
01 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
187
338
0
30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
137
538
0
29 Apr 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
145
125
0
27 Apr 2019
Enabling Open-World Specification Mining via Unsupervised Learning
Enabling Open-World Specification Mining via Unsupervised Learning
Jordan Henkel
Shuvendu K. Lahiri
B. Liblit
Thomas W. Reps
20
1
0
27 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
100
238
0
26 Apr 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAILRMAI4CE
141
250
0
26 Apr 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
Muhan Zhang
Shali Jiang
Zhicheng Cui
Roman Garnett
Yixin Chen
GNNBDLCML
120
203
0
24 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
72
24
0
24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised
  Classification
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification
Xiang Gao
Wei Hu
Zongming Guo
GNN
71
1
0
23 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDLCMLGNN
94
490
0
22 Apr 2019
Semantic Relationships Guided Representation Learning for Facial Action
  Unit Recognition
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition
Guanbin Li
Xin Zhu
Yirui Zeng
Qing Wang
Liang Lin
CVBM
60
155
0
22 Apr 2019
PullNet: Open Domain Question Answering with Iterative Retrieval on
  Knowledge Bases and Text
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
Haitian Sun
Tania Bedrax-Weiss
William W. Cohen
RALMReLM
103
356
0
21 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume
An-phi Nguyen
María Rodríguez Martínez
Jean-Philippe Thiran
M. Gabrani
69
22
0
18 Apr 2019
Neural Message Passing for Multi-Label Classification
Neural Message Passing for Multi-Label Classification
Jack Lanchantin
Arshdeep Sekhon
Yanjun Qi
64
38
0
17 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive
  Graph Representation Learning
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning
Binxuan Huang
Kathleen M. Carley
GNN
43
8
0
17 Apr 2019
Recurrent Space-time Graph Neural Networks
Recurrent Space-time Graph Neural Networks
Andrei Liviu Nicolicioiu
Iulia Duta
Marius Leordeanu
GNN
130
45
0
11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations
Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng
Wenguan Wang
Siyuan Qi
Song-Chun Zhu
128
117
0
11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
66
47
0
09 Apr 2019
Relational Reasoning Network (RRN) for Anatomical Landmarking
Relational Reasoning Network (RRN) for Anatomical Landmarking
N. Torosdagli
Syed Muhammad Anwar
P. Verma
D. Liberton
Janice S. Lee
Wade W. Han
Ulas Bagci
51
3
0
08 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
174
1,357
0
07 Apr 2019
Radiotherapy Target Contouring with Convolutional Gated Graph Neural
  Network
Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network
Chun-Hung Chao
Y. Cheng
Hsien-Tzu Cheng
Chi-Wen Huang
T. Ho
C. Tseng
Le Lu
Min Sun
MedIm
30
4
0
05 Apr 2019
What Object Should I Use? - Task Driven Object Detection
What Object Should I Use? - Task Driven Object Detection
Johann Sawatzky
Yaser Souri
C. Grund
Juergen Gall
ObjD
77
27
0
05 Apr 2019
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