Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at
Scale

Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale

4 July 2023

Tong Nie

Papers citing "Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale"

5 / 5 papers shown

Title
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 33 74 0 19 Jun 2023
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures T. Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 95 145 0 04 Jul 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 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 161 3,799 0 14 Dec 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 178 907 0 02 Mar 2020