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Temporal Graph Networks for Deep Learning on Dynamic Graphs

Temporal Graph Networks for Deep Learning on Dynamic Graphs

18 June 2020
Emanuele Rossi
B. Chamberlain
Fabrizio Frasca
D. Eynard
Federico Monti
M. Bronstein
    AI4CE
ArXivPDFHTML

Papers citing "Temporal Graph Networks for Deep Learning on Dynamic Graphs"

50 / 310 papers shown
Title
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph
  Representation Learning
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
Dong Chen
Shuai Zheng
Muhao Xu
Zhenfeng Zhu
Yao-Min Zhao
39
3
0
11 Mar 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
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
Zeyang Zhang
Xin Wang
Ziwei Zhang
Zhou Qin
Weigao Wen
Hui Xue
Haoyang Li
Wenwu Zhu
OOD
37
17
0
08 Mar 2024
Time to Cite: Modeling Citation Networks using the Dynamic Impact
  Single-Event Embedding Model
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Nikolaos Nakis
Abdulkadir Çelikkanat
Louis Boucherie
Sune Lehmann
Morten Morup
24
0
0
28 Feb 2024
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for
  Temporal Graphs
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Manish Singh
Toyotaro Suzumura
24
1
0
25 Feb 2024
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng
Junwei Su
Chao Huang
Chuan Wu
33
5
0
23 Feb 2024
LiGNN: Graph Neural Networks at LinkedIn
LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk
Shihai He
Yunbo Ouyang
Morteza Ramezani
Peng Du
...
David Stein
Baolei Li
Haichao Wei
Amol Ghoting
Souvik Ghosh
GNN
32
11
0
17 Feb 2024
Link-aware link prediction over temporal graph by pattern recognition
Link-aware link prediction over temporal graph by pattern recognition
Bingqing Liu
Xikun Huang
AI4CE
27
2
0
11 Feb 2024
Prompt Learning on Temporal Interaction Graphs
Prompt Learning on Temporal Interaction Graphs
Xi Chen
Siwei Zhang
Yun Xiong
Xixi Wu
Jiawei Zhang
Xiangguo Sun
Yao Zhang
Feng Zhao
Yulin Kang
AI4CE
34
9
0
09 Feb 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
26
1
0
08 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with
  Structure-Aware Tokenization
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva
Raika Karimi
Faezeh Faez
Yingxue Zhang
40
3
0
02 Feb 2024
MTRGL:Effective Temporal Correlation Discerning through Multi-modal
  Temporal Relational Graph Learning
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
Junwei Su
Shan Wu
Jinhui Li
AIFin
27
2
0
25 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series
  Forecasting
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller
Mohammed Aldosari
Farah Saeed
Nasid Habib Barna
Subas Rana
I. Arpinar
Ninghao Liu
AI4TS
AI4CE
43
20
0
25 Jan 2024
Machine Learning on Dynamic Graphs: A Survey on Applications
Machine Learning on Dynamic Graphs: A Survey on Applications
Sanaz Hasanzadeh Fard
AI4CE
26
3
0
16 Jan 2024
A General Benchmark Framework is Dynamic Graph Neural Network Need
A General Benchmark Framework is Dynamic Graph Neural Network Need
Yusen Zhang
24
0
0
12 Jan 2024
Continuous-time Graph Representation with Sequential Survival Process
Continuous-time Graph Representation with Sequential Survival Process
Abdulkadir Çelikkanat
Nikolaos Nakis
Morten Morup
15
2
0
20 Dec 2023
Multi-perspective Feedback-attention Coupling Model for Continuous-time
  Dynamic Graphs
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
Xiaobo Zhu
Yan Wu
Zhipeng Li
Hailong Su
Jin Che
Zhanheng Chen
Liying Wang
21
0
0
13 Dec 2023
Relational Deep Learning: Graph Representation Learning on Relational
  Databases
Relational Deep Learning: Graph Representation Learning on Relational Databases
Matthias Fey
Weihua Hu
Kexin Huang
J. E. Lenssen
Rishabh Ranjan
Joshua Robinson
Rex Ying
Jiaxuan You
J. Leskovec
GNN
45
30
0
07 Dec 2023
On the Initialization of Graph Neural Networks
On the Initialization of Graph Neural Networks
Jiahang Li
Ya-Zhi Song
Xiang Song
David Wipf
GNN
13
5
0
05 Dec 2023
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
A Review of Link Prediction Applications in Network Biology
A Review of Link Prediction Applications in Network Biology
Ahmad F. Al Musawi
Satyaki Roy
Preetam Ghosh
13
1
0
03 Dec 2023
Understanding Opinions Towards Climate Change on Social Media
Understanding Opinions Towards Climate Change on Social Media
Yashaswi Pupneja
Joseph Zou
Sacha Lévy
Shenyang Huang
40
3
0
02 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient
  Transformers
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
35
6
0
30 Nov 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
26
0
0
30 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Jintang Li
Jiawang Dan
Ruofan Wu
Jing Zhou
Sheng Tian
...
Changhua Meng
Weiqiang Wang
Yuchang Zhu
Liang Chen
Zibin Zheng
AI4CE
43
0
0
28 Nov 2023
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human
  Albumin Prediction
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
Zeyang Zhang
Xingwang Li
Fei Teng
Ning Lin
Xueling Zhu
Xin Wang
Wenwu Zhu
OOD
37
11
0
27 Nov 2023
Exploring Time Granularity on Temporal Graphs for Dynamic Link
  Prediction in Real-world Networks
Exploring Time Granularity on Temporal Graphs for Dynamic Link Prediction in Real-world Networks
Xiangjian Jiang
Yanyi Pu
AI4TS
AI4CE
26
2
0
21 Nov 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution
  Generalization
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan
Qingyun Sun
Xingcheng Fu
Ziwei Zhang
Cheng Ji
Hao Peng
Jianxin Li
OOD
30
16
0
18 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation
  Contrastive
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Hongjiang Chen
Pengfei Jiao
Huijun Tang
Huaming Wu
26
8
0
07 Nov 2023
Constructing Temporal Dynamic Knowledge Graphs from Interactive
  Text-based Games
Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games
Keunwoo Peter Yu
AI4CE
51
1
0
03 Nov 2023
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational
  and Temporal Graphs
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
Yeyuan Chen
Dingmin Wang
27
0
0
03 Nov 2023
TempME: Towards the Explainability of Temporal Graph Neural Networks via
  Motif Discovery
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
Jialin Chen
Rex Ying
AI4TS
27
20
0
30 Oct 2023
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on
  Dynamic Graphs?
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Zeyang Zhang
Xin Wang
Ziwei Zhang
Haoyang Li
Yi Qin
Wenwu Zhu
40
24
0
26 Oct 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs
GADY: Unsupervised Anomaly Detection on Dynamic Graphs
Shiqi Lou
Qingyue Zhang
Shujie Yang
Yuyang Tian
Zhaoxuan Tan
Minnan Luo
34
3
0
25 Oct 2023
DyExplainer: Explainable Dynamic Graph Neural Networks
DyExplainer: Explainable Dynamic Graph Neural Networks
Tianchun Wang
Dongsheng Luo
Wei Cheng
Haifeng Chen
Xiang Zhang
35
3
0
25 Oct 2023
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
Khanh-Tung Tran
Truong-Son Hy
Lili Jiang
Xuan-Son Vu
AI4CE
18
2
0
23 Oct 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Xiaobo Zhu
Yan Wu
Qin-Hu Zhang
Zhanheng Chen
Ying He
AI4CE
19
2
0
15 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
30
19
0
08 Oct 2023
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
Zixuan Liu
G. Hiranandani
Kun Qian
E-Wen Huang
Yi Xu
Belinda Zeng
Karthik Subbian
Sheng Wang
AI4TS
35
0
0
07 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction
  Performance
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Yu-Chiang Frank Wang
Tong Zhao
Yuying Zhao
Yunchao Liu
Xueqi Cheng
Neil Shah
Tyler Derr
26
9
0
06 Oct 2023
Leveraging Temporal Graph Networks Using Module Decoupling
Leveraging Temporal Graph Networks Using Module Decoupling
Or Feldman
Chaim Baskin
OOD
OffRL
32
1
0
04 Oct 2023
Locality-Aware Graph-Rewiring in GNNs
Locality-Aware Graph-Rewiring in GNNs
Federico Barbero
A. Velingker
Amin Saberi
Michael M. Bronstein
Francesco Di Giovanni
40
27
0
02 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous
  networks
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo
Matteo Zignani
S. Gaito
37
1
0
30 Sep 2023
Asynchronous Graph Generator
Asynchronous Graph Generator
Christopher P. Ley
Felipe Tobar
AI4TS
43
0
0
29 Sep 2023
Temporal graph models fail to capture global temporal dynamics
Temporal graph models fail to capture global temporal dynamics
Michal Daniluk
Jacek Dkabrowski
21
2
0
27 Sep 2023
Recurrent Temporal Revision Graph Networks
Recurrent Temporal Revision Graph Networks
Yizhou Chen
Anxiang Zeng
Guangda Huzhang
Qingtao Yu
Kerui Zhang
Yuan Cao
Kangle Wu
Han Yu
Zhiming Zhou
42
3
0
22 Sep 2023
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event
  Classification
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification
Meng Liu
K. Liang
Dayu Hu
Hao Yu
Yue Liu
Lingyuan Meng
Wenxuan Tu
Sihang Zhou
Xinwang Liu
18
25
0
21 Sep 2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning
RDGSL: Dynamic Graph Representation Learning with Structure Learning
Siwei Zhang
Yun Xiong
Yao Zhang
Yiheng Sun
Xiangshan Chen
Yizhu Jiao
Yangyong Zhu
NoLa
37
11
0
05 Sep 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and
  Re-occurrence Preservation
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation
Siwei Zhang
Yun Xiong
Yao Zhang
Xixi Wu
Yiheng Sun
Jiawei Zhang
AI4TS
17
4
0
05 Sep 2023
Trustworthiness-Driven Graph Convolutional Networks for Signed Network
  Embedding
Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding
Min-Jeong Kim
Yeon-Chang Lee
David Y. Kang
Sang-Wook Kim
13
0
0
02 Sep 2023
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