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2302.01018
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Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
2 February 2023
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lio
F. Scarselli
Baptiste Caramiaux
AI4CE
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Papers citing
"Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities"
44 / 44 papers shown
Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction
Pengfei Hu
Ming Fan
Xiaoxue Han
Chang Lu
Wei Zhang
Hyun Kang
Yue Ning
Dan Lu
AI4TS
AI4CE
309
0
0
10 Nov 2025
Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
Mohsin Mahmud Topu
Mahfuz Ahmed Anik
Azmine Toushik Wasi
Md Manjurul Ahsan
AI4CE
174
1
0
04 Nov 2025
Intransitive Player Dominance and Market Inefficiency in Tennis Forecasting: A Graph Neural Network Approach
Lawrence Clegg
John Cartlidge
120
0
0
23 Oct 2025
Temporal social network modeling of mobile connectivity data with graph neural networks
J. Jaskari
Chandreyee Roy
Fumiko Ogushi
Mikko Saukkoriipi
J. Sahlsten
K. Kaski
171
0
0
03 Sep 2025
Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning
Osama Mohammed
Jiaxin Pan
M. Nayyeri
Daniel Hernández
Steffen Staab
AI4TS
323
0
0
05 Aug 2025
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca
Jacob Bamberger
Cesare Alippi
Michael M. Bronstein
326
3
0
18 Jun 2025
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn
Shihai He
Julie Choi
Tianqi Li
Zhiwei Ding
Peng Du
...
Franco Liang
Fedor Borisyuk
Padmini Jaikumar
Xiaobing Xue
Viral Gupta
GNN
232
1
0
15 Jun 2025
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
N. Lell
A. Scherp
326
1
0
05 Jun 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez
Federico Errica
AI4CE
533
15
0
21 May 2025
Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs
Devendra Parkar
Anya Chaturvedi
Andréa W. Richa
378
0
0
19 May 2025
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Pengfei Jiao
Hongjiang Chen
Xuan Guo
Zhidong Zhao
Dongxiao He
Di Jin
AI4CE
386
3
0
07 May 2025
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Hsing-Huan Chung
Shravan Chaudhari
Xing Han
Yoav Wald
Suchi Saria
Joydeep Ghosh
AI4TS
312
1
0
10 Apr 2025
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar
Nathan Griffiths
T. Popham
A. Bhalerao
AI4TS
LRM
255
0
0
06 Mar 2025
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers
Ashish Parmanand Pandey
Alan John Varghese
Sarang Patil
Mengjia Xu
Mamba
576
3
0
15 Dec 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Journal of Computational and Applied Mathematics (JCAM), 2024
Giuseppe Alessio DÍnverno
Saeid Moradizadeh
Sajad Salavatidezfouli
Pasquale Claudio Africa
G. Rozza
AI4CE
501
5
0
04 Oct 2024
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
467
3
0
26 Jul 2024
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim
Leshanshui Yang
Raphael Fournier SÑiehotta
Clément Chatelain
Sébastien Adam
Nicolas Thome
232
1
0
17 Jul 2024
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
Shenyang Huang
Farimah Poursafaei
Reihaneh Rabbany
Guillaume Rabusseau
Emanuele Rossi
225
11
0
17 Jul 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
J. V. Pichowski
Vincenzo Perri
Lisi Qarkaxhija
Ingo Scholtes
297
0
0
24 Jun 2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks
P. Samoaa
Mehrdad Farahani
Antonio Longa
Philipp Leitner
M. Chehreghani
236
0
0
17 Jun 2024
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
Moritz Lampert
Christopher Blöcker
Ingo Scholtes
409
1
0
07 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
299
17
0
03 Jun 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Postuvan
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
299
5
0
28 May 2024
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms
Raphaël Romero
Maarten Buyl
Tijl De Bie
Jefrey Lijffijt
242
0
0
27 May 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks
Sabarish Krishna Moorthy
Jithin Jagannath
363
16
0
27 May 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
ZhengZhao Feng
Rui Wang
TianXing Wang
Mingli Song
Sai Wu
Shuibing He
AI4CE
358
46
0
01 May 2024
CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu
Daniel Gomm
Michael Färber
CML
FAtt
349
1
0
25 Mar 2024
Online Algorithm for Node Feature Forecasting in Temporal Graphs
Aniq Ur Rahman
J. Coon
340
1
0
30 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Moshe Eliasof
E. Haber
Eran Treister
Carola-Bibiane Schönlieb
AI4CE
341
10
0
20 Jan 2024
Kairos: Efficient Temporal Graph Analytics on a Single Machine
Joana M. F. da Trindade
Julian Shun
Samuel Madden
Nesime Tatbul
150
3
0
04 Jan 2024
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
246
1
0
28 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Hongjiang Chen
Pengfei Jiao
Huijun Tang
Huaming Wu
230
15
0
07 Nov 2023
Graph Deep Learning for Time Series Forecasting
ACM Computing Surveys (ACM Comput. Surv.), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
AI4CE
505
38
0
24 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks
Manuel Dileo
Matteo Zignani
S. Gaito
420
1
0
30 Sep 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
Environmental Data Science (EDS), 2023
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
318
26
0
18 Aug 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
IEEE International Conference on Data Engineering (ICDE), 2023
Yuanchen Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
443
9
0
06 Jul 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Neural Networks (Neural Netw.), 2023
Giuseppe Alessio D’Inverno
Simone Brugiapaglia
Mirco Ravanelli
535
4
0
30 Jun 2023
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
311
5
0
20 Jun 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks
Neural Information Processing Systems (NeurIPS), 2023
Ali Behrouz
Farnoosh Hashemi
Sadaf Sadeghian
Margo Seltzer
245
19
0
19 Jun 2023
Analysis of different temporal graph neural network configurations on dynamic graphs
Rishu Verma
Ashmita Bhattacharya
Sai Naveen Katla
125
1
0
02 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
IEEE Access (IEEE Access), 2023
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
239
40
0
12 Apr 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Neural Information Processing Systems (NeurIPS), 2023
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
341
52
0
08 Feb 2023
Explaining the Explainers in Graph Neural Networks: a Comparative Study
ACM Computing Surveys (ACM CSUR), 2022
Antonio Longa
Steve Azzolin
G. Santin
G. Cencetti
Pietro Lio
Bruno Lepri
Baptiste Caramiaux
394
56
0
27 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
Neural Networks (NN), 2022
Silvia Beddar-Wiesing
Giuseppe Alessio D’Inverno
C. Graziani
Veronica Lachi
Alice Moallemy-Oureh
F. Scarselli
J. M. Thomas
338
14
0
08 Oct 2022
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