Graph Deep Learning for Time Series ForecastingACM Computing Surveys (ACM Comput. Surv.), 2023 |
A Survey on Graph Neural Networks for Time Series: Forecasting,
Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
Graph-based Time Series Clustering for End-to-End Hierarchical
ForecastingInternational Conference on Machine Learning (ICML), 2023 |
Forecasting Irregularly Sampled Time Series using GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 |
Taming Local Effects in Graph-based Spatiotemporal ForecastingNeural Information Processing Systems (NeurIPS), 2023 |
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load
ForecastingNeural Networks (NN), 2022 |
Scalable Spatiotemporal Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 |
Sparse Graph Learning from Spatiotemporal Time SeriesJournal of machine learning research (JMLR), 2022 |