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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
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
18
21
0
21 May 2019
Looking to Relations for Future Trajectory Forecast
Looking to Relations for Future Trajectory Forecast
Chiho Choi
Behzad Dariush
22
63
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
35
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
GNN
AI4CE
NAI
21
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
NAI
GNN
11
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
31
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
40
279
0
15 May 2019
Function Space Pooling For Graph Convolutional Networks
Function Space Pooling For Graph Convolutional Networks
P. Corcoran
GNN
28
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
NAI
GNN
16
178
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
26
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
CLL
GNN
OnRL
AI4CE
9
10
0
15 May 2019
Learning Scalable and Precise Representation of Program Semantics
Learning Scalable and Precise Representation of Program Semantics
Ke Wang
NAI
9
27
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
11
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
31
171
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
17
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
AAML
GNN
17
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
17
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
OffRL
GNN
8
64
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
MedIm
AI4CE
24
145
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
30
453
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
19
230
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
15
48
0
01 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
37
331
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
66
511
0
29 Apr 2019
Graph Kernels: A Survey
Graph Kernels: A Survey
Giannis Nikolentzos
Giannis Siglidis
Michalis Vazirgiannis
33
120
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
6
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
22
231
0
26 Apr 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
30
247
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
GNN
BDL
CML
32
196
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
22
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
20
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
BDL
CML
GNN
21
476
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
11
152
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
RALM
ReLM
14
345
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
27
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
17
37
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
11
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
11
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
39
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
19
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
33
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
3DPC
GNN
24
1,326
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
16
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
27
26
0
05 Apr 2019
Learning to Reason: Leveraging Neural Networks for Approximate DNF
  Counting
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting
Ralph Abboud
.Ismail .Ilkan Ceylan
Thomas Lukasiewicz
18
28
0
04 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
3DPC
25
239
0
04 Apr 2019
DAGCN: Dual Attention Graph Convolutional Networks
DAGCN: Dual Attention Graph Convolutional Networks
Fengwen Chen
Shirui Pan
Jing Jiang
Huan Huo
Guodong Long
GNN
30
50
0
04 Apr 2019
Analyzing Learned Molecular Representations for Property Prediction
Analyzing Learned Molecular Representations for Property Prediction
Kevin Kaichuang Yang
Kyle Swanson
Wengong Jin
Connor W. Coley
Philipp Eiden
...
Andrew Palmer
Volker Settels
Tommi Jaakkola
K. Jensen
Regina Barzilay
17
1,288
0
02 Apr 2019
Step Change Improvement in ADMET Prediction with PotentialNet Deep
  Featurization
Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization
Evan N. Feinberg
Robert P. Sheridan
E. Joshi
Vijay S. Pande
A. Cheng
MedIm
4
17
0
28 Mar 2019
Structural Neural Encoders for AMR-to-text Generation
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte
Shay B. Cohen
33
70
0
27 Mar 2019
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