Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks

16 November 2022

Papers citing "Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks"

6 / 6 papers shown

Title
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach Tong Nie Junlin He Yuewen Mei Guoyang Qin Guilong Li Jian Sun Wei Ma 32 3 0 30 Aug 2024
Exploring Large Language Models for Human Mobility Prediction under Public Events Yuebing Liang Yichao Liu Xiaohan Wang Zhan Zhao 123 30 0 29 Nov 2023
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility Xiaoming Li Hubert Normandin-Taillon Chun Wang Xiao Huang 21 1 0 15 Oct 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 81 181 0 25 Mar 2023
Deep trip generation with graph neural networks for bike sharing system expansion Yuebing Liang Fangyi Ding Guan Huang Zhan Zhao AI4TS 15 15 0 20 Mar 2023
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities Yihong Tang Ao Qu A. Chow W. Lam S. Wong Wei-Ying Ma AI4TS 97 54 0 08 Feb 2022