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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 / 64 papers shown
Title
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Y. Zhang
Yi-Xin Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffM
VGen
86
3
0
07 Feb 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
Eugenio Borzone
Leandro Di Persia
Matias Gerard
SSL
65
0
0
21 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
37
0
0
17 Jan 2025
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
11
0
0
09 Sep 2024
Low-Depth Spatial Tree Algorithms
Low-Depth Spatial Tree Algorithms
Yves Baumann
Tal Ben-Nun
Maciej Besta
Lukas Gianinazzi
Torsten Hoefler
Piotr Luczynski
30
0
0
19 Apr 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity
  Individual Uplift Modeling
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
Dingyuan Zhu
Daixin Wang
Zhiqiang Zhang
Kun Kuang
Yan Zhang
Yulin Kang
Jun Zhou
14
3
0
11 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
25
7
0
06 Mar 2024
Demystifying Chains, Trees, and Graphs of Thoughts
Demystifying Chains, Trees, and Graphs of Thoughts
Maciej Besta
Florim Memedi
Zhenyu Zhang
Robert Gerstenberger
Guangyuan Piao
...
Aleš Kubíček
H. Niewiadomski
Aidan O'Mahony
Onur Mutlu
Torsten Hoefler
AI4CE
LRM
34
25
0
25 Jan 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural Network
Tao Wen
Elynn Chen
Yuzhou Chen
11
8
0
22 Jan 2024
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
K. Abdous
Nairouz Mrabah
Mohamed Bouguessa
12
4
0
28 Dec 2023
LineConGraphs: Line Conversation Graphs for Effective Emotion
  Recognition using Graph Neural Networks
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks
Gokul S Krishnan
Sarala Padi
Craig S. Greenberg
Balaraman Ravindran
Dinesh Manoch
Ram D.Sriram
17
2
0
04 Dec 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Marginal Nodes Matter: Towards Structure Fairness in Graphs
Xiaotian Han
Kaixiong Zhou
Ting-Hsiang Wang
Jundong Li
Fei Wang
Na Zou
19
0
0
23 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
Kai Zhao
Qiyu Kang
Yang Song
Rui She
Sijie Wang
Wee Peng Tay
AAML
17
21
0
10 Oct 2023
Modeling Edge Features with Deep Bayesian Graph Networks
Modeling Edge Features with Deep Bayesian Graph Networks
Daniele Atzeni
Federico Errica
D. Bacciu
A. Micheli
11
6
0
17 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
36
19
0
16 Aug 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
Yuan-Qi Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
14
6
0
06 Jul 2023
Size Matters: Large Graph Generation with HiGGs
Size Matters: Large Graph Generation with HiGGs
Alex O. Davies
Nirav Ajmeri
Telmo de Menezes e Silva Filho
19
3
0
20 Jun 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
16
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
6
15
0
20 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
10
4
0
17 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
11
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
11
7
0
08 May 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
20
139
0
11 Apr 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
8
1
0
06 Mar 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
9
8
0
16 Feb 2023
Curriculum Graph Machine Learning: A Survey
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Eric Wang
Wenwu Zhu
15
16
0
06 Feb 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
14
4
0
20 Jan 2023
Disentangled Representation Learning
Disentangled Representation Learning
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
8
77
0
21 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
15
3
0
14 Nov 2022
A survey on the development status and application prospects of
  knowledge graph in smart grids
A survey on the development status and application prospects of knowledge graph in smart grids
Jian Wang
Xi Wang
Chaoqun Ma
Lei Kou
11
73
0
02 Nov 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based
  Embedding
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed
Semra Gunducc
16
1
0
07 Aug 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross
  Merchandise Value Forecast in E-commerce
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
Borui Ye
Shuo Yang
Binbin Hu
Zhiqiang Zhang
Youqiang He
Kai Huang
Jun Zhou
Yanming Fang
8
4
0
27 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
Kuan Li
Yang Liu
Xiang Ao
Jianfeng Chi
Jinghua Feng
Hao Yang
Qing He
AAML
28
62
0
30 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
11
39
0
09 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
27
54
0
19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
34
98
0
16 May 2022
Graph Neural Network based Agent in Google Research Football
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
11
2
0
23 Apr 2022
Detecting Topology Attacks against Graph Neural Networks
Detecting Topology Attacks against Graph Neural Networks
Senrong Xu
Yuan Yao
Liangyue Li
Wei Yang
F. Xu
Hanghang Tong
17
3
0
21 Apr 2022
Modern Views of Machine Learning for Precision Psychiatry
Modern Views of Machine Learning for Precision Psychiatry
Z. Chen
Prathamesh Kulkarni
Kulkarni
I. Galatzer-Levy
Benedetta Bigio
C. Nasca
Yu Zhang
29
87
0
04 Apr 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu
Kenji Kawaguchi
Bryan Hooi
Yiwei Wang
X. Xiao
GNN
15
37
0
22 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
26
50
0
22 Feb 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
14
3
0
10 Jan 2022
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Rongrong Ma
Guansong Pang
Ling-Hao Chen
A. Hengel
14
87
0
19 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
12
60
0
15 Dec 2021
TCGL: Temporal Contrastive Graph for Self-supervised Video
  Representation Learning
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu
Keze Wang
Lingbo Liu
Hao Lan
Liang Lin
SSL
AI4TS
32
113
0
07 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang
Yunze Man
Zhao-quan Song
Zheng Yu
Danyang Zhuo
16
5
0
04 Dec 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
15
91
0
02 Nov 2021
RIM: Reliable Influence-based Active Learning on Graphs
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang
Yexin Wang
Zhenbang You
Mengyao Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
14
30
0
28 Oct 2021
A Comparative Study of Deep Learning Classification Methods on a Small
  Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural
  Networks to Visual Transformers
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers
Penghui Zhao
Chen Li
M. Rahaman
Hao Xu
Hechen Yang
Hongzan Sun
Tao Jiang
M. Grzegorzek
VLM
14
38
0
16 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
35
94
0
01 Jul 2021
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