Joint Demand Prediction for Multimodal Systems: A Multi-task
Multi-relational Spatiotemporal Graph Neural Network Approach

Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach

15 December 2021

Papers citing "Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach"

9 / 9 papers shown

Title
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network Dongran Zhang Jiangnan Yan K. Polat A. Alhudhaif Jun Li AI4TS 29 11 0 31 Dec 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
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN) D. Jana Sven Malama S. Narasimhan E. Taciroğlu GNN 18 3 0 25 Mar 2023
Causal conditional hidden Markov model for multimodal traffic prediction Yu Zhao Pan Deng Junting Liu Xiaofeng Jia Mulan X. Wang 13 11 0 19 Jan 2023
Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks Yuebing Liang Guan Huang Zhan Zhao OOD 8 14 0 16 Nov 2022
Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach Yuebing Liang Guan Huang Zhan Zhao AI4TS 16 12 0 18 Mar 2022
Transfer learning for cross-modal demand prediction of bike-share and public transit Mingzhuang Hua Francisco Camara Pereira Yu Jiang Xuewu Chen AI4TS 16 2 0 17 Mar 2022
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method Yongjie Yang Jinlei Zhang Lixing Yang Xiaohong Li Ziyou Gao AI4TS 23 14 0 27 Feb 2022
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns Yuebing Liang Zhan Zhao Lijun Sun GNN AI4TS 22 59 0 17 Sep 2021