TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction

23 February 2024

Papers citing "TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction"

5 / 5 papers shown

Title
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information F. Simini Gianni Barlacchi Massimilano Luca Luca Pappalardo HAI 62 187 0 01 Dec 2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction Zhicheng Liu Fabio Miranda Weiting Xiong Junyan Yang Qiao Wang Claudio T. Silva AI4TS 72 73 0 04 May 2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells Gengchen Mai K. Janowicz Bo Yan Rui Zhu Ling Cai Ni Lao SSL 125 124 0 16 Feb 2020
Presence-Only Geographical Priors for Fine-Grained Image Classification Oisin Mac Aodha Elijah Cole Pietro Perona 73 166 0 12 Jun 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017