SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
Multivariate Time Series Forecasting

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting

18 June 2024

Antonis F. Lentzakis

Gao Cong

Papers citing "SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting"

5 / 5 papers shown

Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering Yiming Niu Jinliang Deng L. Zhang Zimu Zhou Yongxin Tong AI4TS 21 0 0 09 May 2025
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 94 226 0 18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,799 0 14 Dec 2020
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li Rose Yu Cyrus Shahabi Yan Liu GNN DiffM AI4TS 47 97 0 06 Jul 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,816 0 13 Jun 2015