Learning Geo-Contextual Embeddings for Commuting Flow Prediction

Learning Geo-Contextual Embeddings for Commuting Flow Prediction

4 May 2020

Claudio T. Silva

Papers citing "Learning Geo-Contextual Embeddings for Commuting Flow Prediction"

8 / 8 papers shown

Title
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 180 0 0 09 Mar 2025
Pretrained Mobility Transformer: A Foundation Model for Human Mobility Xinhua Wu Haoyu He Yanchao Wang Qi Wang 39 1 0 29 May 2024
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction Yan Luo Zhuoyue Wan Yuzhong Chen Gengchen Mai K. F. Chung Kent Larson 16 3 0 23 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 79 15 0 30 Jan 2024
Jointly spatial-temporal representation learning for individual trajectories Fei Huang Jianrong Lv Yang Yue AI4TS 75 1 0 07 Dec 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 19 5 0 06 Jun 2023
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT) Namwoo Kim Yoonjin Yoon AI4TS 24 9 0 18 Feb 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019