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Deep Learning on Graphs: A Survey

Deep Learning on Graphs: A Survey

11 December 2018
Ziwei Zhang
Peng Cui
Wenwu Zhu
    GNN
ArXivPDFHTML

Papers citing "Deep Learning on Graphs: A Survey"

50 / 296 papers shown
Title
Federated Learning of Models Pre-Trained on Different Features with
  Consensus Graphs
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
Tengfei Ma
T. Hoang
Jie Chen
FedML
13
4
0
02 Jun 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
15
30
0
31 May 2023
Budget-Aware Graph Convolutional Network Design using Probabilistic
  Magnitude Pruning
Budget-Aware Graph Convolutional Network Design using Probabilistic Magnitude Pruning
H. Sahbi
19
0
0
30 May 2023
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Wee Peng Tay
19
12
0
30 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNN
AI4TS
AI4CE
35
23
0
23 May 2023
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge
  Refinement
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao
Cheng Tan
Stan Z. Li
21
15
0
20 May 2023
The Graph Database Interface: Scaling Online Transactional and
  Analytical Graph Workloads to Hundreds of Thousands of Cores
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores
Maciej Besta
Robert Gerstenberger
Marc Fischer
Michal Podstawski
Nils Blach
...
Wojciech Chlapek
M. Michalewicz
H. Niewiadomski
Juergen Mueller
Torsten Hoefler
8
9
0
18 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving
  with Workload Awareness
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Zeyuan Tan
Xiulong Yuan
Congjie He
Man-Kit Sit
Guo Li
Xiaoze Liu
Baole Ai
Kai Zeng
Peter R. Pietzuch
Luo Mai
GNN
15
15
0
18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced
  Sum-Product Networks
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica
Mathias Niepert
TPM
22
4
0
17 May 2023
Towards Understanding the Generalization of Graph Neural Networks
Towards Understanding the Generalization of Graph Neural Networks
Huayi Tang
Y. Liu
GNN
AI4CE
32
29
0
14 May 2023
Collaborative Learning-Based Scheduling for Kubernetes-Oriented
  Edge-Cloud Network
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Shihao Shen
Yiwen Han
Xiaofei Wang
Shiqiang Wang
Victor C. M. Leung
19
5
0
10 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving
  Behaviors with Graph Convolutional Recurrent Networks
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks
Pooyan Khosravinia
Thinagaran Perumal
Javad Zarrin
21
7
0
08 May 2023
A Review of Deep Learning for Video Captioning
A Review of Deep Learning for Video Captioning
Moloud Abdar
Meenakshi Kollati
Swaraja Kuraparthi
Farhad Pourpanah
Daniel J. McDuff
...
Shuicheng Yan
Abduallah A. Mohamed
Abbas Khosravi
Erik Cambria
Fatih Porikli
3DV
27
20
0
22 Apr 2023
Hyperbolic Geometric Graph Representation Learning for
  Hierarchy-imbalance Node Classification
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Xingcheng Fu
Yuecen Wei
Qingyun Sun
Haonan Yuan
Jia Wu
Hao Peng
Jianxin Li
AI4CE
22
24
0
11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
31
141
0
11 Apr 2023
Class-Imbalanced Learning on Graphs: A Survey
Class-Imbalanced Learning on Graphs: A Survey
Yihong Ma
Yijun Tian
Nuno Moniz
Nitesh V. Chawla
25
19
0
09 Apr 2023
Adversarially Robust Neural Architecture Search for Graph Neural
  Networks
Adversarially Robust Neural Architecture Search for Graph Neural Networks
Beini Xie
Heng Chang
Ziwei Zhang
Xin Eric Wang
Daixin Wang
Zhiqiang Zhang
Rex Ying
Wenwu Zhu
AAML
28
16
0
09 Apr 2023
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Rethinking the Trigger-injecting Position in Graph Backdoor Attack
Jing Xu
Gorka Abad
S. Picek
LLMSV
SILM
19
6
0
05 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for
  Molecule, Protein and Material
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang
Maryam Qamar
Taegoo Kang
Yuna Jung
Chenshuang Zhang
Sung-Ho Bae
Chaoning Zhang
DiffM
MedIm
31
44
0
04 Apr 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
13
20
0
28 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural
  Networks: A Review
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas
Aakash Tripathi
Ravichandran Ramachandran
Paul Stewart
Ghulam Rasool
AI4CE
32
31
0
11 Mar 2023
A hybrid deep-learning-metaheuristic framework for bi-level network
  design problems
A hybrid deep-learning-metaheuristic framework for bi-level network design problems
B. Madadi
Gonçalo Homem de Almeida Rodriguez Correia
6
4
0
10 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey
A System's Approach Taxonomy for User-Centred XAI: A Survey
Ehsan Emamirad
Pouya Ghiasnezhad Omran
A. Haller
S. Gregor
21
1
0
06 Mar 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks
Wenqian Li
Yinchuan Li
Zhigang Li
Jianye Hao
Yan Pang
83
29
0
04 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural
  Networks
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks
Qiyu Kang
Kai Zhao
Yang Song
Sijie Wang
Rui She
Wee Peng Tay
35
0
0
02 Mar 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
29
8
0
27 Feb 2023
Knowledge Graph Completion with Counterfactual Augmentation
Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang
Jie Cai
Jia Li
14
25
0
25 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph
  Convolutional Networks
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks
Acong Zhang
Jincheng Huang
Ping Li
Kaizheng Zhang
GNN
19
5
0
17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
22
8
0
16 Feb 2023
Explicit3D: Graph Network with Spatial Inference for Single Image 3D
  Object Detection
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection
Yanjun Liu
Wenming Yang
3DPC
22
1
0
13 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
A Comprehensive Survey on Graph Summarization with Graph Neural Networks
Nasrin Shabani
Jia Wu
Amin Beheshti
Quan.Z Sheng
Jin Foo
Venus Haghighi
Ambreen Hanif
Maryam Shahabikargar
GNN
AI4TS
34
12
0
13 Feb 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
35
7
0
10 Feb 2023
Curriculum Graph Machine Learning: A Survey
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Eric Wang
Wenwu Zhu
20
16
0
06 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Generative Diffusion Models on Graphs: Methods and Applications
C. Liu
Wenqi Fan
Yunqing Liu
Jiatong Li
Hang Li
Hui Liu
Jiliang Tang
Qing Li
MedIm
DiffM
32
58
0
06 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open
  challenges, and opportunities
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lió
F. Scarselli
Andrea Passerini
AI4CE
21
50
0
02 Feb 2023
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
24
14
0
28 Jan 2023
Flex-Net: A Graph Neural Network Approach to Resource Management in
  Flexible Duplex Networks
Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
Tharaka Perera
S. Atapattu
Yuting Fang
Prathapasinghe Dharmawansa
J. Evans
GNN
25
4
0
20 Jan 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level Learning
Zhenyu Yang
Ge Zhang
Jia Wu
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio'
GNN
AI4CE
35
10
0
14 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
32
7
0
12 Jan 2023
Multi-duplicated Characterization of Graph Structures using Information
  Gain Ratio for Graph Neural Networks
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks
Yuga Oishi
Ken Kaneiwa
25
1
0
24 Dec 2022
Realistic Synthetic Social Networks with Graph Neural Networks
Realistic Synthetic Social Networks with Graph Neural Networks
Alex O. Davies
Nirav Ajmeri
27
5
0
15 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
40
26
0
11 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks
Hierarchical Model Selection for Graph Neural Netoworks
Yuga Oishi
Ken Kaneiwa
20
0
0
01 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
32
6
0
27 Nov 2022
Link Prediction with Non-Contrastive Learning
Link Prediction with Non-Contrastive Learning
William Shiao
Zhichun Guo
Tong Zhao
Evangelos E. Papalexakis
Yozen Liu
Neil Shah
21
15
0
25 Nov 2022
Disentangled Representation Learning
Disentangled Representation Learning
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
32
77
0
21 Nov 2022
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical
  Structure
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
K. Liang
Yue Liu
Sihang Zhou
Wenxuan Tu
Yi Wen
Xihong Yang
Xiang Dong
Xinwang Liu
24
76
0
19 Nov 2022
Evaluating Distribution System Reliability with Hyperstructures Graph
  Convolutional Nets
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets
Yuzhou Chen
Tian Jiang
M. Heleno
Alexandre Moreira
Yulia R. Gel
GNN
AI4CE
26
3
0
14 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Mingyu Yan
Xiaochun Ye
Dongrui Fan
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
25
24
0
10 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph
  classification
Application of Graph Neural Networks and graph descriptors for graph classification
J. Adamczyk
FaML
16
5
0
07 Nov 2022
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