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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 / 1,389 papers shown
Title
Roto-translated Local Coordinate Frames For Interacting Dynamical
  Systems
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
19
32
0
28 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using
  Vector Quantization
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding
Kezhi Kong
Jingling Li
Chen Zhu
John P. Dickerson
Furong Huang
Tom Goldstein
GNN
MQ
33
47
0
27 Oct 2021
How to transfer algorithmic reasoning knowledge to learn new algorithms?
How to transfer algorithmic reasoning knowledge to learn new algorithms?
Louis-Pascal Xhonneux
Andreea Deac
Petar Velickovic
Jian Tang
30
26
0
26 Oct 2021
Neural Program Generation Modulo Static Analysis
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee
Yeming Wen
Dipak Chaudhari
Thomas W. Reps
Swarat Chaudhuri
C. Jermaine
30
24
0
26 Oct 2021
Nested Graph Neural Networks
Nested Graph Neural Networks
Muhan Zhang
Pan Li
27
163
0
25 Oct 2021
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
29
78
0
25 Oct 2021
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network
Jingyuan Yang
Xinbo Gao
Leida Li
Xiumei Wang
Jinshan Ding
12
32
0
24 Oct 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
A. Nobari
Faez Ahmed
3DV
AI4CE
34
175
0
21 Oct 2021
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
Akshay Dharmavaram
Tejus Gupta
Jiachen Li
Katia P. Sycara
14
0
0
18 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast
  Sampling and Pipelining
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Tim Kaler
Nickolas Stathas
Anne Ouyang
A. Iliopoulos
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
70
52
0
16 Oct 2021
Asymmetric Graph Representation Learning
Asymmetric Graph Representation Learning
Zhuo Tan
B. Liu
Guosheng Yin
24
1
0
14 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen
D. Q. Nguyen
Van Nguyen
Trung Le
Quan Hung Tran
Dinh Q. Phung
26
109
0
14 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks
SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang
Yuehao Wang
Hua Lin
Jianbo Shi
32
3
0
14 Oct 2021
Two-argument activation functions learn soft XOR operations like
  cortical neurons
Two-argument activation functions learn soft XOR operations like cortical neurons
Kijung Yoon
Emin Orhan
Juhyeon Kim
Xaq Pitkow
MLT
35
0
0
13 Oct 2021
Breaking the Softmax Bottleneck for Sequential Recommender Systems with
  Dropout and Decoupling
Breaking the Softmax Bottleneck for Sequential Recommender Systems with Dropout and Decoupling
Yi Lin
BDL
14
3
0
11 Oct 2021
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNN
FAtt
AI4CE
30
90
0
11 Oct 2021
CoRGi: Content-Rich Graph Neural Networks with Attention
CoRGi: Content-Rich Graph Neural Networks with Attention
Jooyeon Kim
A. Lamb
Simon Woodhead
Simon L. Peyton Jones
Cheng Zheng
Miltiadis Allamanis
36
6
0
10 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent
  Kernels
New Insights into Graph Convolutional Networks using Neural Tangent Kernels
Mahalakshmi Sabanayagam
P. Esser
D. Ghoshdastidar
21
6
0
08 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks
Attentive Walk-Aggregating Graph Neural Networks
M. F. Demirel
Shengchao Liu
Siddhant Garg
Zhenmei Shi
Yingyu Liang
87
9
0
06 Oct 2021
Turing approximations, toric isometric embeddings & manifold
  convolutions
Turing approximations, toric isometric embeddings & manifold convolutions
P. Suárez-Serrato
20
1
0
05 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations
Permute Me Softly: Learning Soft Permutations for Graph Representations
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
GNN
36
9
0
05 Oct 2021
Equivariant Neural Network for Factor Graphs
Equivariant Neural Network for Factor Graphs
Fan-Yun Sun
Jonathan Kuck
Hao Tang
Stefano Ermon
21
1
0
29 Sep 2021
Extracting Attentive Social Temporal Excitation for Sequential
  Recommendation
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
Yunzhe Li
Yue Ding
Bo Chen
Xin Xin
Yule Wang
Yuxiang Shi
Ruiming Tang
Dong Wang
AI4TS
11
15
0
28 Sep 2021
Multi-resolution deep learning pipeline for dense large scale point
  clouds
Multi-resolution deep learning pipeline for dense large scale point clouds
T. Richard
F. Dupont
Guillaume Lavoué
3DPC
16
0
0
23 Sep 2021
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
Devanshu Arya
D. K. Gupta
S. Rudinac
M. Worring
50
12
0
22 Sep 2021
Graph-based Cluttered Scene Generation and Interactive Exploration using
  Deep Reinforcement Learning
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning
K. N. Kumar
Irfan Essa
Sehoon Ha
LM&Ro
OffRL
20
11
0
21 Sep 2021
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
Marco Grassia
Manlio De Domenico
G. Mangioni
AI4CE
44
13
0
21 Sep 2021
Graph Neural Networks for Graph Drawing
Graph Neural Networks for Graph Drawing
Matteo Tiezzi
Gabriele Ciravegna
Marco Gori
26
20
0
21 Sep 2021
CompilerGym: Robust, Performant Compiler Optimization Environments for
  AI Research
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
Chris Cummins
Bram Wasti
Jiadong Guo
Brandon Cui
Jason Ansel
...
Jia-Wei Liu
O. Teytaud
Benoit Steiner
Yuandong Tian
Hugh Leather
31
68
0
17 Sep 2021
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos
Junhao Zhang
Yali Wang
Zhipeng Zhou
Tianyu Luan
Zhe Wang
Yu Qiao
3DH
44
26
0
15 Sep 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and
  Circuit Translation
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation
Nan Wu
Huake He
Yuan Xie
Pan Li
Cong Hao
GNN
16
3
0
13 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable Subgoals
Andrii Zadaianchuk
Georg Martius
Fanny Yang
SSL
64
16
0
09 Sep 2021
Software Vulnerability Detection via Deep Learning over Disaggregated
  Code Graph Representation
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Yufan Zhuang
Sahil Suneja
Veronika Thost
Giacomo Domeniconi
Alessandro Morari
Jim Laredo
GNN
22
15
0
07 Sep 2021
Powering Comparative Classification with Sentiment Analysis via Domain
  Adaptive Knowledge Transfer
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
Zeyu Li
Yilong Qin
Zihan Liu
Wei Wang
12
2
0
07 Sep 2021
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph
  Learning
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning
Xinjun Cai
Jiaxing Shang
Fei Hao
Dajiang Liu
Linjiang Zheng
29
19
0
07 Sep 2021
VulSPG: Vulnerability detection based on slice property graph
  representation learning
VulSPG: Vulnerability detection based on slice property graph representation learning
Weining Zheng
Yuan Jiang
Xiaohong Su
11
31
0
06 Sep 2021
Reasoning Graph Networks for Kinship Verification: from Star-shaped to
  Hierarchical
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
Wanhua Li
Jiwen Lu
Abudukelimu Wuerkaixi
Jianjiang Feng
Jie Zhou
6
20
0
06 Sep 2021
Edge-featured Graph Neural Architecture Search
Edge-featured Graph Neural Architecture Search
Shaofei Cai
Liang Li
Xinzhe Han
Zhengjun Zha
Qingming Huang
15
6
0
03 Sep 2021
On the Significance of Question Encoder Sequence Model in the
  Out-of-Distribution Performance in Visual Question Answering
On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering
K. Gouthaman
Anurag Mittal
CML
45
0
0
28 Aug 2021
Identifying Non-Control Security-Critical Data through Program
  Dependence Learning
Identifying Non-Control Security-Critical Data through Program Dependence Learning
Zhilong Wang
Haizhou Wang
Hong Hu
Peng Liu
AAML
42
0
0
27 Aug 2021
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based
  Motion Prediction
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
Maosen Li
Siheng Chen
Yangheng Zhao
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
3DH
23
74
0
25 Aug 2021
Pooling Architecture Search for Graph Classification
Pooling Architecture Search for Graph Classification
Lan Wei
Huan Zhao
Quanming Yao
Zhiqiang He
AI4CE
16
71
0
24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive
  Benchmark Study
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Xia Hu
Zhangyang Wang
AAML
GNN
27
61
0
24 Aug 2021
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures
M. Rahmani
Rasoul Shafipour
Ping Li
FedML
17
1
0
16 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point
  Clouds
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
Bjoern Michele
Alexandre Boulch
Gilles Puy
Maxime Bucher
Renaud Marlet
3DPC
DiffM
VLM
18
57
0
13 Aug 2021
Generating Diverse Descriptions from Semantic Graphs
Generating Diverse Descriptions from Semantic Graphs
Jiuzhou Han
Daniel Beck
Trevor Cohn
30
0
0
12 Aug 2021
Time-based Dynamic Controllability of Disjunctive Temporal Networks with
  Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Kevin Osanlou
J. Frank
J. Benton
Andrei Bursuc
Christophe Guettier
Éric Jacopin
Tristan Cazenave
AI4CE
24
1
0
02 Aug 2021
Optimal Solving of Constrained Path-Planning Problems with Graph
  Convolutional Networks and Optimized Tree Search
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Kevin Osanlou
Andrei Bursuc
Christophe Guettier
Tristan Cazenave
Éric Jacopin
GNN
AI4CE
26
11
0
02 Aug 2021
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
21
31
0
02 Aug 2021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural
  Networks
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini
Ivan Marisca
Cesare Alippi
AI4TS
AI4CE
14
103
0
31 Jul 2021
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