Graph-based Time Series Clustering for End-to-End Hierarchical
Forecasting

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting

30 May 2023

Danilo P. Mandic

Papers citing "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting"

9 / 9 papers shown

Title
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks Thomas Bailie Yun Sing Koh S. Karthik Mukkavilli V. Vetrova AI4TS 48 0 0 01 Apr 2025
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation Wenxuan Wang K. Wu Yujian Betterest Li Dan Wang Xiaotian Zhang Jiaheng Liu AI4TS 68 0 0 24 Feb 2025
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Quoc Viet Nguyen Joaquín Delgado Fernández Sergio Potenciano Menci AI4TS 57 0 0 14 Feb 2025
Interpreting Temporal Graph Neural Networks with Koopman Theory Michele Guerra Simone Scardapane F. Bianchi AI4TS AI4CE 23 0 0 17 Oct 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 40 8 0 16 Feb 2024
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 26 14 0 24 Oct 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Scalable Spatiotemporal Graph Neural Networks Andrea Cini Ivan Marisca F. Bianchi Cesare Alippi AI4TS AI4CE 34 49 0 14 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,106 0 27 Apr 2021