FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

10 November 2023

Papers citing "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"

4 / 54 papers shown

Title
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Hui He Qi Zhang Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 19 4 0 01 Sep 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 121 170 0 18 May 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 117 394 0 03 Feb 2022
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 169 3,885 0 14 Dec 2020