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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 | 45 | 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) | 1 | 1 |
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| 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 | 38 | 18 |
| 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 | 26 | 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 | 26 | 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 | 13 |
| visibility_off | TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting | Nancy R. Xu, Chrysoula Kosma, M. Vazirgiannis | 2023-07-27 | ArXiv | 23 | 59 |
| visibility_off | GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation | Federico Bello, Gonzalo Chiarlone, Marcelo Fiori, Gastón García González, F. Larroca | 2026-03-10 | ArXiv | 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 | 50 | 56 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |