This page was last updated on 2026-03-30 06:47:44 UTC

Click here for a quick intro of the page! help

Recommendations for the article A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Abstract	Title	Authors	Publication Date	Journal/ Conference	Citation count	Highest h-index
visibility_off	Graph Time-series Modeling in Deep Learning: A Survey	Hongjie Chen, Hoda Eldardiry	2023-12-23	ACM Transactions on Knowledge Discovery from Data	42	18
visibility_off	Graph Construction Approaches for Graph Neural Networks-Based Anomaly Detection in Time Series	N. J. Mlyahilu, Evgenia Novikova	2025-05-28	2025 XXVIII International Conference on Soft Computing and Measurements (SCM)	0	0
visibility_off	A survey on graph neural networks, machine learning and deep learning techniques for time series applications in industry	Muhammad Jamal Ahmed, Alberto Mozo, Amit Karamchandani	2025-09-25	PeerJ Comput. Sci.	3	17
visibility_off	Graph Anomaly Detection in Time Series: A Survey	Thi Kieu Khanh Ho, Ali Karami, N. Armanfard	2023-01-31	IEEE Transactions on Pattern Analysis and Machine Intelligence	20	16
visibility_off	A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification	Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti	2024-10-29	Neural networks : the official journal of the International Neural Network Society	20	14
visibility_off	A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification	Flavio Corradini, Flavio Gerosa, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti	2024-10-29	Neural networks : the official journal of the International Neural Network Society	20	14
visibility_off	Negative Feedback Matters: Exploring Positive and Negative Correlations for Time Series Anomaly Detection	Yixuan Jin, Xueting Liu, Bing Hu, Joojo Walker, Ke Wang, Wei Wu, Ting Zhong	2025-05-20	Electronics	0	15
visibility_off	TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting	Nancy R. Xu, Chrysoula Kosma, M. Vazirgiannis	2023-07-27	ArXiv	17	57
visibility_off	GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation	Federico Bello, Gonzalo Chiarlone, Marcelo Fiori, Gast'on Garc'ia Gonz'alez, F. Larroca	2026-03-10	Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods	0	2
visibility_off	Graph Deep Learning for Time Series Forecasting	Andrea Cini, Ivan Marisca, Daniele Zambon, C. Alippi	2023-10-24	ACM Computing Surveys	37	55
Abstract	Title	Authors	Publication Date	Journal/Conference	Citation count	Highest h-index