Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

16 September 2021

Roger Zimmermann

Papers citing "Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference"

7 / 7 papers shown

Title
Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation Xiaobo Hu Youfang Lin Hehe Fan Shuo Wang Zhihao Wu Kai Lv 24 3 0 06 Dec 2023
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy Qianxiong Xu Cheng Long Ziyue Li Sijie Ruan Rui Zhao Zhishuai Li 20 7 0 05 Nov 2023
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting Y. Shin Yoonjin Yoon GNN AI4TS 36 37 0 18 Feb 2022
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting Yanjun Qin Yuchen Fang Haiyong Luo Fang Zhao Chenxing Wang AI4TS 79 8 0 04 Dec 2021
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging Yuankai Wu Dingyi Zhuang Mengying Lei A. Labbe Lijun Sun AI4TS 30 25 0 24 Sep 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 92 226 0 18 Jan 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han Hao Liu Hengshu Zhu Hui Xiong Dejing Dou 66 72 0 30 Dec 2020