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. 1902.10191
  4. Cited By
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

26 February 2019
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
    GNN
ArXivPDFHTML

Papers citing "EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs"

50 / 360 papers shown
Title
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
Siwei Zhang
Yun Xiong
Yateng Tang
Xi Chen
Zian Jia
Zehao Gu
Jiarong Xu
Jiawei Zhang
AI4CE
75
1
0
20 May 2025
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks
Cunlai Pu
Fangrui Wu
Rajput Ramiz Sharafat
Guangzhao Dai
Xiangbo Shu
19
0
0
14 May 2025
DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
Bizhan Alipour Pijan
Serdar Bozdag
24
0
0
13 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification
Understanding GNNs and Homophily in Dynamic Node Classification
Michael Ito
Danai Koutra
Jenna Wiens
87
1
0
29 Apr 2025
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction
Ling Wang
Minglian Han
AI4CE
23
0
0
26 Apr 2025
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
Minglian Han
22
0
0
22 Apr 2025
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Hsing-Huan Chung
Shravan Chaudhari
Xing Han
Yoav Wald
S. Saria
Joydeep Ghosh
AI4TS
36
0
0
10 Apr 2025
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
Suchanuch Piriyasatit
Chaohao Yuan
Ercan Engin Kuruoglu
58
0
0
16 Mar 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs
Hyeonsoo Jo
Jongha Lee
Fanchen Bu
Kijung Shin
41
0
0
10 Mar 2025
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Emma Ceccherini
Ian Gallagher
Andrew Jones
Daniel J. Lawson
43
0
0
04 Mar 2025
A Survey of Link Prediction in Temporal Networks
A Survey of Link Prediction in Temporal Networks
Jiafeng Xiong
Ahmad Zareie
Rizos Sakellariou
AI4TS
AI4CE
39
1
0
28 Feb 2025
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation
Unlocking Multi-Modal Potentials for Dynamic Text-Attributed Graph Representation
Yuanyuan Xu
Wenjie Zhang
Y. Zhang
Xuemin Lin
Xiwei Xu
61
0
0
27 Feb 2025
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs
Yuanyuan Xu
Wenjie Zhang
Xuemin Lin
Y. Zhang
AI4TS
39
0
0
23 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
73
2
0
14 Feb 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Xunkai Li
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
54
0
0
27 Jan 2025
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Junliang Luo
Xue Liu
29
0
0
21 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
J. Liu
31
0
0
21 Jan 2025
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao
Lisheng Wang
Luobing Huang
DiffM
47
0
0
20 Jan 2025
Hypergraph-Based Dynamic Graph Node Classification
Hypergraph-Based Dynamic Graph Node Classification
Xiaoxu Ma
Chen Zhao
Minglai Shao
Yujie Lin
44
0
0
31 Dec 2024
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Yuxin Yang
Hongkuan Zhou
R. Kannan
Viktor Prasanna
36
0
0
31 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu
Bin Shi
Teng Ma
Bo Dong
Haoyi Zhou
Qinghua Zheng
109
15
0
19 Dec 2024
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic
  Graphs -- A Graph Sequential Embedding Method
Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method
Jiate Li
Meng Pang
Binghui Wang
AAML
69
1
0
17 Dec 2024
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
120
0
0
15 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Z. Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
120
0
0
13 Dec 2024
Temporal-Aware Evaluation and Learning for Temporal Graph Neural
  Networks
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su
Shan Wu
74
0
0
10 Dec 2024
Dynamic Graph Representation with Contrastive Learning for Financial
  Market Prediction: Integrating Temporal Evolution and Static Relations
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
Yunhua Pei
Jin Zheng
John Cartlidge
AIFin
62
1
0
05 Dec 2024
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at
  Scale
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
81
1
0
01 Dec 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs
Sejun Park
Joo Young Park
Hyunwoo Park
AI4CE
OOD
36
0
0
17 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng R. Li
Jundong Li
Kaize Ding
OOD
47
2
0
25 Oct 2024
TEAM: Topological Evolution-aware Framework for Traffic
  Forecasting--Extended Version
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu
Tung Kieu
Peng Han
Bin Yang
Christian S. Jensen
Bac Le
AI4TS
24
1
0
24 Oct 2024
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular
  Observations
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
Bryce Ferenczi
Michael G. Burke
Tom Drummond
31
0
0
11 Oct 2024
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Sevvandi Kandanaarachchi
Conrad Sanderson
Rob J. Hyndman
27
0
0
08 Oct 2024
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
Xiaodong Lu
Leilei Sun
T. Zhu
Weifeng Lv
AI4TS
26
1
0
05 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order
  Expressive Power
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
Zhe Wang
Tianjian Zhao
Zhen Zhang
Jiawei Chen
Sheng Zhou
Yan Feng
Chun Chen
Can Wang
39
1
0
02 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data
Recovering Time-Varying Networks From Single-Cell Data
Euxhen Hasanaj
Barnabás Póczos
Ziv Bar-Joseph
AI4CE
19
0
0
01 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
30
0
0
26 Sep 2024
Inductive Spatial Temporal Prediction Under Data Drift with Informative
  Graph Neural Network
Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network
Jialun Zheng
Divya Saxena
Jiannong Cao
Hanchen Yang
Penghui Ruan
AI4TS
19
0
0
20 Sep 2024
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
Pengfe Jiao
Xinxun Zhang
Mengzhou Gao
Tianpeng Li
Zhidong Zhao
AI4CE
26
0
0
14 Sep 2024
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph
  Analysis
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
Lena Sasal
Daniel Busby
Abdenour Hadid
32
1
0
29 Aug 2024
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework
  for forecasting Spatio-Temporal Data
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
Zakaria Elabid
Lena Sasal
Daniel Busby
Abdenour Hadid
AI4CE
33
1
0
29 Aug 2024
Retrieval Augmented Generation for Dynamic Graph Modeling
Retrieval Augmented Generation for Dynamic Graph Modeling
Yuxia Wu
Lizi Liao
Yuan Fang
51
3
0
26 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in
  Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
32
1
0
22 Aug 2024
Dynamic Neural Dowker Network: Approximating Persistent Homology in
  Dynamic Directed Graphs
Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
Hao Li
Hao Jiang
Jiajun Fan
Dongsheng Ye
Liang Du
19
2
0
17 Aug 2024
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li
Shiyin Tan
Ying Zhang
Ming Jin
Shirui Pan
Manabu Okumura
Renhe Jiang
Mamba
34
3
0
13 Aug 2024
A Novel Spatiotemporal Coupling Graph Convolutional Network
A Novel Spatiotemporal Coupling Graph Convolutional Network
Fanghui Bi
35
0
0
09 Aug 2024
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
Zifeng Ding
Yifeng Li
Yuan He
Antonio Norelli
Jingcheng Wu
Volker Tresp
Yunpu Ma
Michael Bronstein
Mamba
51
3
0
08 Aug 2024
A Differential Smoothness-based Compact-Dynamic Graph Convolutional
  Network for Spatiotemporal Signal Recovery
A Differential Smoothness-based Compact-Dynamic Graph Convolutional Network for Spatiotemporal Signal Recovery
Pengcheng Gao
Zicheng Gao
Ye Yuan
17
0
0
06 Aug 2024
Spatial-temporal Graph Convolutional Networks with Diversified
  Transformation for Dynamic Graph Representation Learning
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
Ling Wang
Yixiang Huang
Hao Wu
27
0
0
05 Aug 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of
  Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
48
0
0
27 Jul 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph
  Representation Learning
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
Xi Chen
Yun Xiong
Siwei Zhang
Jiawei Zhang
Yao Zhang
Shiyang Zhou
Xixi Wu
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AI4CE
33
1
0
26 Jul 2024
12345678
Next