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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 / 1,390 papers shown
Title
Retrieving and Reading: A Comprehensive Survey on Open-domain Question
  Answering
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
Fengbin Zhu
Wenqiang Lei
Chao Wang
Jianming Zheng
Soujanya Poria
Tat-Seng Chua
RALM
213
252
0
04 Jan 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
50
57
0
31 Dec 2020
AU-Expression Knowledge Constrained Representation Learning for Facial
  Expression Recognition
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
Tao Pu
Tianshui Chen
Yuan Xie
Hefeng Wu
Liang Lin
29
22
0
29 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Girish A. Koushik
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDa
CML
27
12
0
28 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks
Action Recognition with Kernel-based Graph Convolutional Networks
H. Sahbi
GNN
29
1
0
28 Dec 2020
Objective Class-based Micro-Expression Recognition through Simultaneous
  Action Unit Detection and Feature Aggregation
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
Ling Zhou
Qi-rong Mao
Ming Dong
14
18
0
24 Dec 2020
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
GAHNE: Graph-Aggregated Heterogeneous Network Embedding
Xiaohe Li
Lijie Wen
Chen Qian
Jianmin Wang
21
5
0
23 Dec 2020
Deep Multi-attribute Graph Representation Learning on Protein Structures
Deep Multi-attribute Graph Representation Learning on Protein Structures
Tian Xia
Wei-Shinn Ku
GNN
AI4CE
15
1
0
22 Dec 2020
Barking up the right tree: an approach to search over molecule synthesis
  DAGs
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
51
56
0
21 Dec 2020
Knowledge as Invariance -- History and Perspectives of
  Knowledge-augmented Machine Learning
Knowledge as Invariance -- History and Perspectives of Knowledge-augmented Machine Learning
A. Sagel
Amit Sahu
Stefan Matthes
H. Pfeifer
Tianming Qiu
Harald Ruess
Hao Shen
Julian Wormann
16
3
0
21 Dec 2020
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain
  Knowledge-Based VQA
KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
Kenneth Marino
Xinlei Chen
Devi Parikh
Abhinav Gupta
Marcus Rohrbach
26
179
0
20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
M. Dearing
Xiaoyang Sean Wang
GNN
AI4CE
21
3
0
20 Dec 2020
A pipeline for fair comparison of graph neural networks in node
  classification tasks
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
16
5
0
19 Dec 2020
A Generalization of Transformer Networks to Graphs
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
50
720
0
17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
116
0
16 Dec 2020
Hierarchical Graph Capsule Network
Hierarchical Graph Capsule Network
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
24
30
0
16 Dec 2020
Molecular machine learning with conformer ensembles
Molecular machine learning with conformer ensembles
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
20
49
0
15 Dec 2020
Keyword-Guided Neural Conversational Model
Keyword-Guided Neural Conversational Model
Peixiang Zhong
Yong Liu
Hongya Wang
Chunyan Miao
OffRL
16
37
0
15 Dec 2020
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural
  Networks
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao
R. Urtasun
R. Zemel
24
87
0
14 Dec 2020
Molecular graph generation with Graph Neural Networks
Molecular graph generation with Graph Neural Networks
P. Bongini
Monica Bianchini
F. Scarselli
GNN
28
136
0
14 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by
  Predicting Subtrees
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
SSL
44
104
0
13 Dec 2020
LayoutGMN: Neural Graph Matching for Structural Layout Similarity
LayoutGMN: Neural Graph Matching for Structural Layout Similarity
A. Patil
Manyi Li
Matthew Fisher
Manolis Savva
Hao Zhang
33
32
0
11 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical
  Graph Representation Learning
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning
Haoteng Tang
Guixiang Ma
Lifang He
Heng-Chiao Huang
Liang Zhan
GNN
35
24
0
10 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
229
255
0
09 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs
Learning to Represent Programs with Heterogeneous Graphs
Kechi Zhang
Wenhan Wang
Huangzhao Zhang
Ge Li
Zhi Jin
GNN
21
63
0
08 Dec 2020
Fixed Priority Global Scheduling from a Deep Learning Perspective
Fixed Priority Global Scheduling from a Deep Learning Perspective
Hyunsung Lee
Michaël Wang
Honguk Woo
AI4CE
6
0
0
05 Dec 2020
GraphPB: Graphical Representations of Prosody Boundary in Speech
  Synthesis
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
Aolan Sun
Jianzong Wang
Ning Cheng
Huayi Peng
Zhen Zeng
Lingwei Kong
Jing Xiao
16
9
0
03 Dec 2020
Towards explainable message passing networks for predicting carbon
  dioxide adsorption in metal-organic frameworks
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks
Ali Raza
Faaiq G. Waqar
Arni Sturluson
Cory M. Simon
Xiaoli Z. Fern
AI4CE
13
3
0
02 Dec 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset
  for Intelligent Vehicles
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
31
27
0
27 Nov 2020
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with
  Graph Convolutional Networks
Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks
E. Bastianelli
Andrea Vanzo
Oliver Lemon
21
6
0
26 Nov 2020
Probing Model Signal-Awareness via Prediction-Preserving Input
  Minimization
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
32
32
0
25 Nov 2020
MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
MEG: Multi-Evidence GNN for Multimodal Semantic Forensics
Ekraam Sabir
Ayush Jaiswal
Wael AbdAlmageed
Premkumar Natarajan
6
3
0
23 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
  Graph Neural Networks
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
15
31
0
22 Nov 2020
Deep Data Flow Analysis
Deep Data Flow Analysis
Chris Cummins
Hugh Leather
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Michael F. P. O'Boyle
16
4
0
21 Nov 2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging,
  Query, Representation, Completion and Applications
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Chaochao Chen
Jamie Cui
Guanfeng Liu
Jia Wu
Li Wang
27
22
0
20 Nov 2020
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural
  Networks for Dead Store Detection
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
Yixin Guo
Pengcheng Li
Yingwei Luo
Xiaolin Wang
Zhenlin Wang
GNN
13
1
0
18 Nov 2020
Reinforcement Learning of Graph Neural Networks for Service Function
  Chaining
Reinforcement Learning of Graph Neural Networks for Service Function Chaining
DongNyeong Heo
Doyoung Lee
Heegon Kim
Suhyun Park
Heeyoul Choi
GNN
9
8
0
17 Nov 2020
Learning Associative Inference Using Fast Weight Memory
Learning Associative Inference Using Fast Weight Memory
Imanol Schlag
Tsendsuren Munkhdalai
Jürgen Schmidhuber
KELM
30
44
0
16 Nov 2020
Node Attribute Completion in Knowledge Graphs with Multi-Relational
  Propagation
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation
Eda Bayram
Alberto García-Durán
Robert West
34
13
0
10 Nov 2020
Learning to Communicate and Correct Pose Errors
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu
Mengye Ren
James Tu
Jingkang Wang
R. Urtasun
24
63
0
10 Nov 2020
Dual ResGCN for Balanced Scene GraphGeneration
Dual ResGCN for Balanced Scene GraphGeneration
Jingyi Zhang
Yong Zhang
Baoyuan Wu
Yanbo Fan
Fumin Shen
Heng Tao Shen
28
12
0
09 Nov 2020
Augmented Equivariant Attention Networks for Microscopy Image
  Reconstruction
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction
Yaochen Xie
Yuchen Ding
Shuiwang Ji
8
1
0
06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,175
0
04 Nov 2020
Prosodic Representation Learning and Contextual Sampling for Neural
  Text-to-Speech
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech
S. Karlapati
Ammar Abbas
Zack Hodari
Alexis Moinet
Arnaud Joly
Panagiota Karanasou
Thomas Drugman
23
19
0
04 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive
  Semi-Supervised Learning over Large-scale Graphs
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
Yunpeng Weng
Xu Chen
Liang Chen
Wei Liu
GNN
14
10
0
03 Nov 2020
Improving Cyberbully Detection with User Interaction
Improving Cyberbully Detection with User Interaction
Suyu Ge
Lu Cheng
Huan Liu
26
37
0
01 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
19
186
0
30 Oct 2020
Graph Neural Network for Metal Organic Framework Potential Energy
  Approximation
Graph Neural Network for Metal Organic Framework Potential Energy Approximation
Shehtab Zaman
Christopher Owen
Kenneth Chiu
Michael Lawler
AI4CE
14
0
0
29 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative
  Homogeneous Graph Neural Networks
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
25
9
0
26 Oct 2020
Revisiting convolutional neural network on graphs with polynomial
  approximations of Laplace-Beltrami spectral filtering
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
26
11
0
26 Oct 2020
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