ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.05493
  4. Cited By
Gated Graph Sequence Neural Networks

Gated Graph Sequence Neural Networks

17 November 2015
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
    GNN
ArXivPDFHTML

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,390 papers shown
Title
Pre-training Graph Neural Networks with Kernels
Pre-training Graph Neural Networks with Kernels
Nicoló Navarin
D. V. Tran
A. Sperduti
21
27
0
16 Nov 2018
Gaussian-Induced Convolution for Graphs
Gaussian-Induced Convolution for Graphs
Jiatao Jiang
Zhen Cui
Chunyan Xu
Jian Yang
16
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
14
32
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
14
2
0
06 Nov 2018
Structured Neural Summarization
Structured Neural Summarization
Patrick Fernandes
Miltiadis Allamanis
Marc Brockschmidt
GNN
19
212
0
05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lió
GNN
41
257
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
AIMat
LRM
14
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
GNN
AI4TS
11
42
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
19
11
0
01 Nov 2018
SARN: Relational Reasoning through Sequential Attention
SARN: Relational Reasoning through Sequential Attention
Jinwon An
Sungwon Lyu
Sungzoon Cho
GNN
6
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
10
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
16
1,537
0
01 Nov 2018
Learning to Represent Edits
Learning to Represent Edits
Pengcheng Yin
Graham Neubig
Miltiadis Allamanis
Marc Brockschmidt
Alexander L. Gaunt
KELM
18
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
VLM
ObjD
36
86
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
23
169
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
33
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
21
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
18
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
79
1,654
0
14 Oct 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
19
273
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
SSeg
FAtt
AI4TS
19
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
40
7,452
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
16
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
19
89
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
14
35
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
19
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
11
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
17
408
0
04 Sep 2018
Discriminative Learning of Similarity and Group Equivariant
  Representations
Discriminative Learning of Similarity and Group Equivariant Representations
Shubhendu Trivedi
27
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
36
533
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
14
9
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
16
96
0
13 Aug 2018
Relational dynamic memory networks
Relational dynamic memory networks
Trang Pham
T. Tran
Svetha Venkatesh
GNN
21
3
0
10 Aug 2018
Message Passing Graph Kernels
Message Passing Graph Kernels
Giannis Nikolentzos
Michalis Vazirgiannis
14
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
AI4TS
3DPC
25
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
11
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
19
110
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
SSL
DRL
AI4CE
8
54
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
FAtt
OOD
BDL
19
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
14
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
22
173
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
16
227
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
13
319
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
GNN
NAI
13
191
0
24 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
84
2,124
0
22 Jun 2018
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCL
AI4CE
22
248
0
21 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question
  Answering
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
Will Norcliffe-Brown
Efstathios Vafeias
Sarah Parisot
GNN
21
236
0
19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
276
1,944
0
09 Jun 2018
Neural Message Passing with Edge Updates for Predicting Properties of
  Molecules and Materials
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
Peter Bjørn Jørgensen
K. Jacobsen
Mikkel N. Schmidt
30
82
0
08 Jun 2018
Adversarial Attack on Graph Structured Data
Adversarial Attack on Graph Structured Data
H. Dai
Hui Li
Tian Tian
Xin Huang
L. Wang
Jun Zhu
Le Song
GNN
AAML
OOD
19
759
0
06 Jun 2018
Previous
123...2425262728
Next