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Representation Learning for Dynamic Graphs: A Survey

Representation Learning for Dynamic Graphs: A Survey

27 May 2019
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
    AI4TS
    AI4CE
    GNN
ArXivPDFHTML

Papers citing "Representation Learning for Dynamic Graphs: A Survey"

50 / 64 papers shown
Title
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
29
0
0
07 May 2025
Rethinking Time Encoding via Learnable Transformation Functions
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen
Yateng Tang
Jiarong Xu
Jiawei Zhang
Siwei Zhang
Sijia Peng
Xuehao Zheng
Yun Xiong
AI4TS
51
0
0
01 May 2025
TiGer: Self-Supervised Purification for Time-evolving Graphs
Hyeonsoo Jo
Jongha Lee
Fanchen Bu
Kijung Shin
41
0
0
10 Mar 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
91
19
0
28 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
Jiaheng Liu
36
0
0
21 Jan 2025
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
41
0
0
31 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
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNN
AI4TS
43
1
0
26 Jul 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
32
10
0
31 May 2024
Gaussian Embedding of Temporal Networks
Gaussian Embedding of Temporal Networks
Raphaël Romero
Jefrey Lijffijt
Riccardo Rastelli
Marco Corneli
Tijl De Bie
39
1
0
27 May 2024
A Differential Geometric View and Explainability of GNN on Evolving
  Graphs
A Differential Geometric View and Explainability of GNN on Evolving Graphs
Yazheng Liu
Xi Zhang
Sihong Xie
21
3
0
11 Mar 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for
  Graph Streams
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams
Chaoyi Chen
Dechao Gao
Yanfeng Zhang
Qiange Wang
Zhenbo Fu
Xuecang Zhang
Junhua Zhu
Yu Gu
Ge Yu
GNN
43
5
0
05 Dec 2023
New Perspectives on the Evaluation of Link Prediction Algorithms for
  Dynamic Graphs
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs
Raphaël Romero
T. D. Bie
Jefrey Lijffijt
21
0
0
30 Nov 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
OT
24
1
0
28 Sep 2023
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with
  Dynamic Graphs
STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
Jiawen Wang
Quan Chen
Deze Zeng
Zhuo Song
Chen Chen
Minyi Guo
GNN
34
2
0
27 Sep 2023
Effect of Choosing Loss Function when Using T-batching for
  Representation Learning on Dynamic Networks
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks
Erfan Loghmani
MohammadAmin Fazli
18
4
0
13 Aug 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic
  Graphs
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
37
10
0
18 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang
Yuzhen Mao
Yujun Yan
Yaoqing Yang
Jianhui Sun
...
Si Zhang
Alison Hu
Edward Bowen
Tyler Cody
Dawei Zhou
44
2
0
01 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
39
14
0
12 Apr 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
29
96
0
23 Mar 2023
Do We Really Need Complicated Model Architectures For Temporal Networks?
Do We Really Need Complicated Model Architectures For Temporal Networks?
Weilin Cong
Si Zhang
Jian Kang
Baichuan Yuan
Hao Wu
Xin Zhou
Hanghang Tong
Mehrdad Mahdavi
GNN
AI4TS
31
113
0
22 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Malintha Fernando
Ransalu Senanayake
Heeyoul Choi
Martin Swany
37
4
0
14 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
40
12
0
13 Feb 2023
TIGER: Temporal Interaction Graph Embedding with Restarts
TIGER: Temporal Interaction Graph Embedding with Restarts
Yao Zhang
Yun Xiong
Yongxiang Liao
Yiheng Sun
Yucheng Jin
Xuehao Zheng
Yangyong Zhu
22
24
0
13 Feb 2023
Graph state-space models
Graph state-space models
Daniele Zambon
Andrea Cini
L. Livi
Cesare Alippi
23
6
0
04 Jan 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Chunyang Wang
Desen Sun
Yunru Bai
GNN
AI4CE
50
15
0
01 Jan 2023
Proactive Robot Assistance via Spatio-Temporal Object Modeling
Proactive Robot Assistance via Spatio-Temporal Object Modeling
Maithili Patel
Sonia Chernova
29
26
0
28 Nov 2022
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global
  Interactions
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
Anson Bastos
Abhishek Nadgeri
Kuldeep Singh
Toyotaro Suzumura
Manish Singh
41
7
0
22 Nov 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of
  Graph Neural Networks for Attributed and Dynamic Graphs
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
31
9
0
08 Oct 2022
Provably expressive temporal graph networks
Provably expressive temporal graph networks
Amauri Souza
Diego Mesquita
Samuel Kaski
Vikas K. Garg
89
54
0
29 Sep 2022
Reasoning over Multi-view Knowledge Graphs
Reasoning over Multi-view Knowledge Graphs
Zhaohan Xi
Ren Pang
Changjiang Li
Tianyu Du
S. Ji
Fenglong Ma
Ting Wang
38
4
0
27 Sep 2022
Rethinking The Memory Staleness Problem In Dynamics GNN
Rethinking The Memory Staleness Problem In Dynamics GNN
Mor Ventura
Hadas Ben-Atya
Dekel Brav
13
0
0
06 Sep 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
32
6
0
25 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
24
31
0
15 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
29
13
0
22 Jul 2022
Representation Learning in Continuous-Time Dynamic Signed Networks
Representation Learning in Continuous-Time Dynamic Signed Networks
Kartik Sharma
Mohit Raghavendra
Y. Lee
M. Anandkumar
Srijan Kumar
34
8
0
07 Jul 2022
Instant Graph Neural Networks for Dynamic Graphs
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng
Hanzhi Wang
Zhewei Wei
Jiajun Liu
Sibo Wang
GNN
27
20
0
03 Jun 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
26
29
0
06 Apr 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale
  Graphs
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs
Hongkuan Zhou
Da Zheng
Israt Nisa
Vasileios Ioannidis
Xiang Song
George Karypis
AI4CE
39
86
0
28 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Understanding microbiome dynamics via interpretable graph representation
  learning
Understanding microbiome dynamics via interpretable graph representation learning
K. Melnyk
Kuba Weimann
Tim Conrad
21
5
0
02 Mar 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
37
51
0
22 Feb 2022
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Ainaz Hajimoradlou
Seyed Mehran Kazemi
17
9
0
07 Jan 2022
Deep Policies for Online Bipartite Matching: A Reinforcement Learning
  Approach
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
Mohammad Ali Alomrani
Reza Moravej
Elias Boutros Khalil
OffRL
39
22
0
21 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
42
22
0
20 Sep 2021
Temporal Knowledge Graph Completion using Box Embeddings
Temporal Knowledge Graph Completion using Box Embeddings
Johannes Messner
Ralph Abboud
.Ismail .Ilkan Ceylan
21
105
0
18 Sep 2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
37
538
0
14 Jun 2021
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
ChronoR: Rotation Based Temporal Knowledge Graph Embedding
A. Sadeghian
Mohammadreza Armandpour
Anthony Colas
D. Wang
BDL
11
111
0
18 Mar 2021
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