Tweeted By @ml_review
Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
— ML Review (@ml_review) September 16, 2019
Uses Gaussian Markov Random Field to find dependency graph among locations
Sparsifies Transformer architecture based on the dependency graph
Taxi Demand Forecasting SoTA https://t.co/gcK2c7eets pic.twitter.com/tirBdkVK7O