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. 1901.00596
  4. Cited By
A Comprehensive Survey on Graph Neural Networks

A Comprehensive Survey on Graph Neural Networks

3 January 2019
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
    FaML
    GNN
    AI4TS
    AI4CE
ArXivPDFHTML

Papers citing "A Comprehensive Survey on Graph Neural Networks"

50 / 2,812 papers shown
Title
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Chu-Hsing Lin
Changjian Li
Yuan-Bin Liu
Nenglun Chen
Yi-King Choi
Wenping Wang
3DPC
18
49
0
01 Dec 2020
Graph convolutions that can finally model local structure
Graph convolutions that can finally model local structure
Rémy Brossard
Oriel Frigo
David Dehaene
GNN
29
48
0
30 Nov 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
30
294
0
30 Nov 2020
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene
  Understanding
Exploring Deep 3D Spatial Encodings for Large-Scale 3D Scene Understanding
Saqib Ali Khan
Yilei Shi
Muhammad Shahzad
Xiaoxiang Zhu
3DPC
3DV
11
0
0
29 Nov 2020
Unsupervised Constrained Community Detection via Self-Expressive Graph
  Neural Network
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network
S. Bandyopadhyay
Vishal Peter
SSL
9
10
0
28 Nov 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
23
27
0
27 Nov 2020
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy
  Trade-off
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
Minji Yoon
Théophile Gervet
Bryan Hooi
Christos Faloutsos
12
18
0
26 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning
Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li
Yixin Liu
Zhen Zhang
Shirui Pan
Jianliang Gao
Jiajun Bu
8
7
0
24 Nov 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes
  with Space-Filling Curves
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
C. Heaney
Yuling Li
Omar K. Matar
Christopher C. Pain
AI4CE
11
15
0
24 Nov 2020
Improving Federated Relational Data Modeling via Basis Alignment and
  Weight Penalty
Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty
Yilun Lin
Chaochao Chen
Cen Chen
Li Wang
FedML
28
8
0
23 Nov 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
13
43
0
23 Nov 2020
Stacked Graph Filter
Stacked Graph Filter
Hoang NT
Takanori Maehara
T. Murata
GNN
14
4
0
22 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Scalable Graph Neural Networks for Heterogeneous Graphs
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
30
49
0
19 Nov 2020
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon
  Entropy
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
Mingyong Zhou
UQCV
10
1
0
19 Nov 2020
Node Similarity Preserving Graph Convolutional Networks
Node Similarity Preserving Graph Convolutional Networks
Wei Jin
Tyler Derr
Yiqi Wang
Yao Ma
Zitao Liu
Jiliang Tang
20
247
0
19 Nov 2020
Machine Learning for Phase Behavior in Active Matter Systems
Machine Learning for Phase Behavior in Active Matter Systems
A. R. Dulaney
J. Brady
4
13
0
18 Nov 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for
  Training Large Graph Convolutional Networks
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Tao Huang
Yihan Zhang
Jiajing Wu
Junyuan Fang
Zibin Zheng
GNN
9
2
0
17 Nov 2020
Automatic selection of clustering algorithms using supervised graph
  embedding
Automatic selection of clustering algorithms using supervised graph embedding
Noy Cohen-Shapira
L. Rokach
13
15
0
16 Nov 2020
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for
  Molecular Structures
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures
Shuo-feng Zhang
Yang Liu
Lei Xie
GNN
16
60
0
15 Nov 2020
Representing Deep Neural Networks Latent Space Geometries with Graphs
Representing Deep Neural Networks Latent Space Geometries with Graphs
Carlos Lassance
Vincent Gripon
Antonio Ortega
AI4CE
9
15
0
14 Nov 2020
Using Graph Neural Networks to Reconstruct Ancient Documents
Using Graph Neural Networks to Reconstruct Ancient Documents
Cecilia Ostertag
M. Beurton-Aimar
6
2
0
13 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial
  Intelligence: A Review and Perspective
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective
Bao-Gang Hu
Hanbing Qu
AI4CE
20
1
0
12 Nov 2020
Survey on 3D face reconstruction from uncalibrated images
Survey on 3D face reconstruction from uncalibrated images
Araceli Morales
Gemma Piella
Federico Sukno
3DH
15
61
0
11 Nov 2020
Toward Edge-Centric Network Embeddings
Toward Edge-Centric Network Embeddings
G. Pirrò
GNN
18
0
0
11 Nov 2020
Statistical learning for change point and anomaly detection in graphs
Statistical learning for change point and anomaly detection in graphs
A. Malinovskaya
Philipp Otto
T. Peters
9
1
0
10 Nov 2020
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
19
19
0
09 Nov 2020
Automorphic Equivalence-aware Graph Neural Network
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu
Quanming Yao
Pan Hui
Yong Li
13
5
0
09 Nov 2020
Graph Kernels: State-of-the-Art and Future Challenges
Graph Kernels: State-of-the-Art and Future Challenges
Karsten M. Borgwardt
Elisabetta Ghisu
Felipe Llinares-López
Leslie O’Bray
Bastian Alexander Rieck
AI4TS
31
100
0
07 Nov 2020
Learning with Molecules beyond Graph Neural Networks
Learning with Molecules beyond Graph Neural Networks
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
GNN
11
3
0
06 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
18
70
0
06 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning
  Models for Article Vectorisation
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Diego Kozlowski
Jennifer Dusdal
Jun Pang
A. Zilian
13
13
0
05 Nov 2020
Merchant Category Identification Using Credit Card Transactions
Merchant Category Identification Using Credit Card Transactions
Chin-Chia Michael Yeh
Zhongfang Zhuang
Yan Zheng
Liang Wang
Junpeng Wang
Wei Zhang
20
8
0
05 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
1,174
0
04 Nov 2020
Learning on Attribute-Missing Graphs
Learning on Attribute-Missing Graphs
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya-Qin Zhang
Ivor W Tsang
24
85
0
03 Nov 2020
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context
  Learning
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
Shitong Zhu
Shasha Li
Zhongjie Wang
Xun Chen
Zhiyun Qian
S. Krishnamurthy
Kevin S. Chan
A. Swami
11
14
0
03 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
12
10
0
03 Nov 2020
Self-supervised Representation Learning for Evolutionary Neural
  Architecture Search
Self-supervised Representation Learning for Evolutionary Neural Architecture Search
Chen Wei
Yiping Tang
Chuang Niu
Haihong Hu
Yue Wang
Jimin Liang
16
21
0
31 Oct 2020
Reliable Graph Neural Networks via Robust Aggregation
Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler
Daniel Zügner
Stephan Günnemann
AAML
OOD
6
71
0
29 Oct 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
OT
3DPC
8
77
0
28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
15
283
0
27 Oct 2020
On the Stability of Graph Convolutional Neural Networks under Edge
  Rewiring
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay
D. Thanou
Xiaowen Dong
12
30
0
26 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
BDL
GNN
17
29
0
26 Oct 2020
Contrastive Graph Neural Network Explanation
Contrastive Graph Neural Network Explanation
Lukas Faber
A. K. Moghaddam
Roger Wattenhofer
19
36
0
26 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
17
9
0
26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural Networks
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng R. Li
GNN
14
74
0
25 Oct 2020
Multi-Graph Tensor Networks
Multi-Graph Tensor Networks
Yao Xu
Kriton Konstantinidis
Danilo P. Mandic
22
7
0
25 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval
Deep Graph Matching and Searching for Semantic Code Retrieval
Xiang Ling
Lingfei Wu
Sai-gang Wang
Gaoning Pan
Tengfei Ma
Fangli Xu
A. Liu
Chunming Wu
S. Ji
GNN
23
91
0
24 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
T. Dash
A. Srinivasan
L. Vig
NAI
22
25
0
23 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label
  Propagation
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong
Jiawei Chen
Fuli Feng
Xiangnan He
Shuxian Bi
Zhaolin Ding
Peng Cui
BDL
25
102
0
23 Oct 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement
  Learning
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang
Wen Song
Zhiguang Cao
Jie M. Zhang
Puay Siew Tan
Chi Xu
60
299
0
23 Oct 2020
Previous
123...464748...555657
Next