Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data

9 September 2019

Papers citing "Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data"

5 / 5 papers shown

Title
Spatio-Temporal Graph Neural Networks: A Survey Zahraa Al Sahili M. Awad GNN AI4TS 29 23 0 25 Jan 2023
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting Hongyuan Yu Ting Li Weichen Yu Jianguo Li Yan Huang Liang Wang A. Liu AI4TS CML 26 52 0 12 Oct 2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting M. A. Chattha L. V. Elst M. I. Malik Andreas Dengel Sheraz Ahmed AI4TS 16 0 0 08 Feb 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting Guanyao Li Shuhan Zhong Shueng-Han Gary Chan Ruiyuan Li Chih-Chieh Hung Wen-Chih Peng AI4TS 35 26 0 30 Dec 2021
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting Rafaela C. Nascimento Y. M. Souto Eduardo S. Ogasawara Fábio Porto Eduardo Bezerra AI4TS 17 82 0 30 Nov 2019