ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario

17 August 2022

Papers citing "ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario"

4 / 4 papers shown

Title
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction Mingfei Cai Y. Pang Y. Sekimoto AI4TS 43 0 0 27 Aug 2024
ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination Prediction Yang Liu Binglin Chen Yongsen Zheng Lechao Cheng Guanbin Li Liang Lin AI4TS 32 0 0 24 Apr 2024
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Keli Zhang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 85 182 0 25 Mar 2023
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