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. 2304.05055
  4. Cited By
A Comprehensive Survey on Deep Graph Representation Learning

A Comprehensive Survey on Deep Graph Representation Learning

11 April 2023
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
Ziyue Qiao
Yifang Qin
Jianhao Shen
Fangce Sun
Zhiping Xiao
Junwei Yang
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "A Comprehensive Survey on Deep Graph Representation Learning"

50 / 60 papers shown
Title
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Minglian Han
12
0
0
22 Apr 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
Yuang Jia
Xiaojuan Shan
Jun-Xiong Xia
Guancheng Wan
Y. Zhang
Wenke Huang
Mang Ye
Stan Z. Li
42
0
0
01 Apr 2025
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Weighted Graph Structure Learning with Attention Denoising for Node Classification
Tingting Wang
Jiaxin Su
Haobing Liu
Ruobing Jiang
63
0
0
15 Mar 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
Asiri Wijesinghe
Hao Zhu
Piotr Koniusz
35
0
0
22 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
S. Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
81
0
0
10 Feb 2025
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
Xudong Fan
Jürgen Hackl
50
0
0
01 Feb 2025
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using
  Code Property Graphs
Transducer Tuning: Efficient Model Adaptation for Software Tasks Using Code Property Graphs
Imam Nur Bani Yusuf
Lingxiao Jiang
70
0
0
18 Dec 2024
Instance-Aware Graph Prompt Learning
Instance-Aware Graph Prompt Learning
Jiazheng Li
Jundong Li
Chuxu Zhang
VLM
59
2
0
26 Nov 2024
Graph Pooling by Local Cluster Selection
Graph Pooling by Local Cluster Selection
Yizhu Chen
GNN
61
0
0
25 Nov 2024
Variational Graph Contrastive Learning
Variational Graph Contrastive Learning
Shifeng Xie
Jhony H. Giraldo
27
0
0
11 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu
Tieke He
Tao Zheng
Jianhua Zhao
SSL
28
1
0
02 Nov 2024
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain
  Adaptation
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
Junyu Luo
Yiyang Gu
Xiao Luo
Wei Ju
Zhiping Xiao
Yusheng Zhao
Jingyang Yuan
Ming Zhang
22
7
0
22 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation
  Model
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
Tianqianjin Lin
Pengwei Yan
Kaisong Song
Zhuoren Jiang
Yangyang Kang
Jun Lin
Weikang Yuan
Junjie Cao
Changlong Sun
Xiaozhong Liu
AI4CE
26
0
0
19 Oct 2024
LoGra-Med: Long Context Multi-Graph Alignment for Medical
  Vision-Language Model
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model
Duy M. H. Nguyen
N. T. Diep
Trung Q. Nguyen
Hoang-Bao Le
Tai Nguyen
...
Pengtao Xie
Roger Wattenhofer
James Zhou
Daniel Sonntag
Mathias Niepert
VLM
46
1
0
03 Oct 2024
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making
  Using Minimum Viable Data (MVD)
Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)
Tashfain Ahmed
Josh Siegel
13
0
0
18 Sep 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
21
0
0
26 Aug 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo
Zhiping Xiao
Yifan Wang
Xiao Luo
Jingyang Yuan
Wei Ju
Langechuan Liu
Ming Zhang
28
1
0
22 Aug 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous
  Graph Representation Learning
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Qiuyu Zhu
Liang Zhang
Qianxiong Xu
Kaijun Liu
Cheng Long
Xiaoyang Wang
24
0
0
18 Jul 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and
  Generalizability
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang
Junyu Luo
Yanxin Shen
Siyu Heng
Xiao Luo
33
1
0
13 Jun 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph
  Neural Networks
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
Zhehan Zhao
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Lixiang Xu
Edwin R. Hancock
30
3
0
16 May 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Wei Ju
Zhengyan Mao
Siyu Yi
Yifang Qin
Yiyang Gu
Zhiping Xiao
Yifan Wang
Xiao Luo
Ming Zhang
23
6
0
08 May 2024
Improving Chinese Character Representation with Formation Tree
Improving Chinese Character Representation with Formation Tree
Yang Hong
Yinfei Li
Xiaojun Qiao
Rui Li
Junsong Zhang
VLM
22
0
0
19 Apr 2024
Continual Learning for Smart City: A Survey
Continual Learning for Smart City: A Survey
Li Yang
Zhipeng Luo
Shi-sheng Zhang
Fei Teng
Tian-Jie Li
HAI
22
6
0
01 Apr 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
26
36
0
07 Mar 2024
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for
  Traffic Forecasting
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju
Yusheng Zhao
Yifang Qin
Siyu Yi
Jingyang Yuan
Zhiping Xiao
Xiao Luo
Xiting Yan
Ming Zhang
16
22
0
02 Mar 2024
Disambiguated Node Classification with Graph Neural Networks
Disambiguated Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
AI4CE
11
2
0
13 Feb 2024
Unveiling Delay Effects in Traffic Forecasting: A Perspective from
  Spatial-Temporal Delay Differential Equations
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations
Qingqing Long
Zheng Fang
Chen Fang
Chong Chen
Pengfei Wang
Yuanchun Zhou
AI4TS
14
2
0
02 Feb 2024
A Survey of Data-Efficient Graph Learning
A Survey of Data-Efficient Graph Learning
Wei Ju
Siyu Yi
Yifan Wang
Qingqing Long
Junyu Luo
Zhiping Xiao
Ming Zhang
GNN
11
26
0
01 Feb 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from
  Adversarial Pooling
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling
Wei Ju
Yiyang Gu
Zhengyan Mao
Ziyue Qiao
Yifang Qin
Xiao Luo
Hui Xiong
Ming Zhang
SSL
19
8
0
29 Jan 2024
Improving embedding of graphs with missing data by soft manifolds
Improving embedding of graphs with missing data by soft manifolds
Andrea Marinoni
Pietro Lio'
Alessandro Barp
Christian Jutten
M. Girolami
8
0
0
29 Nov 2023
PGODE: Towards High-quality System Dynamics Modeling
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo
Yiyang Gu
Huiyu Jiang
Hang Zhou
Jinsheng Huang
Wei Ju
Zhiping Xiao
Ming Zhang
Yizhou Sun
AI4CE
19
0
0
11 Nov 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We
  Learn First
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zhengwu Zhang
Junxiang Wang
Liang Zhao
18
6
0
28 Oct 2023
Graph AI in Medicine
Graph AI in Medicine
Ruth Johnson
Michelle M. Li
Ayush Noori
Owen Queen
Marinka Zitnik
6
3
0
20 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
Jingyang Yuan
Xiao Luo
Yifang Qin
Zhengyan Mao
Wei Ju
Ming Zhang
AAML
13
17
0
26 Sep 2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
Semi-supervised Domain Adaptation in Graph Transfer Learning
Ziyue Qiao
Xiao Luo
Meng Xiao
Hao Dong
Yuanchun Zhou
Hui Xiong
OOD
44
21
0
19 Sep 2023
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Si-Yu Yi
Wei Ju
Yifang Qin
Xiao Luo
Luchen Liu
Yong-Dao Zhou
Ming Zhang
25
15
0
09 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via
  Collaborative Experts
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Si-Yu Yi
Zhengyan Mao
Wei Ju
Yong-Dao Zhou
Luchen Liu
Xiao Luo
Ming Zhang
17
6
0
31 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph
  Classification
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Zhengyan Mao
Wei Ju
Yifang Qin
Xiao Luo
Ming Zhang
6
15
0
04 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced
  Unsupervised Approach
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai
Jialong Zhou
Yulin Zhu
Gaolei Li
Tomasz P. Michalak
Xi Luo
Kai Zhou
20
0
0
02 Aug 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive
  Graph Classification
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin
Libin Shen
Mengzhu Wang
L. Lan
Zeyu Ma
C. L. Philip Chen
Xiansheng Hua
Xiao Luo
16
41
0
08 Jun 2023
HINormer: Representation Learning On Heterogeneous Information Networks
  with Graph Transformer
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Qiheng Mao
Zemin Liu
Chenghao Liu
Jianling Sun
29
27
0
22 Feb 2023
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph
  Classification
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Wei Ju
Junwei Yang
Meng Qu
Weiping Song
Jianhao Shen
Ming Zhang
13
35
0
21 May 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue
Chunhui Zhang
Chuxu Zhang
Hongfu Liu
16
21
0
19 May 2022
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
60
176
0
20 Mar 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
47
19
0
28 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural
  Networks
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
Zhaoning Yu
Hongyang Gao
21
38
0
01 Feb 2022
Graph Neural Controlled Differential Equations for Traffic Forecasting
Graph Neural Controlled Differential Equations for Traffic Forecasting
Jeongwhan Choi
Hwangyong Choi
JeeHyun Hwang
Noseong Park
BDL
AI4TS
72
262
1
07 Dec 2021
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph
  Data Augmentations
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
Tianyu Zhang
Yuxiang Ren
Wenzheng Feng
Weitao Du
Xuecang Zhang
4
1
0
05 Nov 2021
Inverse design of 3d molecular structures with conditional generative
  neural networks
Inverse design of 3d molecular structures with conditional generative neural networks
Niklas W. A. Gebauer
M. Gastegger
Stefaan S. P. Hessmann
Klaus-Robert Muller
Kristof T. Schütt
AI4CE
170
125
0
10 Sep 2021
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
96
228
0
21 Apr 2021
12
Next