Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2112.08078
Cited By

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

ArXiv (abs)PDF HTML Github

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

10 / 10 papers shown

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction

289

2

0

12 Aug 2025

Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network

Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional networkAdvanced Engineering Informatics (AEI), 2024

301

31

0

31 Dec 2024

Exploring Large Language Models for Human Mobility Prediction under
Public Events

Exploring Large Language Models for Human Mobility Prediction under Public EventsComputers, Environment and Urban Systems (CEUS), 2023

415

93

0

29 Nov 2023

Edge Ranking of Graphs in Transportation Networks using a Graph Neural
Network (GNN)

Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)

133

4

0

25 Mar 2023

Causal conditional hidden Markov model for multimodal traffic prediction

Causal conditional hidden Markov model for multimodal traffic predictionAAAI Conference on Artificial Intelligence (AAAI), 2023

335

17

0

19 Jan 2023

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

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

262

31

0

16 Nov 2022

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes:
A Graph-based Deep Learning Approach

Bike Sharing Demand Prediction based on Knowledge Sharing across Modes: A Graph-based Deep Learning Approach

191

17

0

18 Mar 2022

Transfer learning for cross-modal demand prediction of bike-share and
public transit

Transfer learning for cross-modal demand prediction of bike-share and public transit

Francisco Camara Pereira

215

9

0

17 Mar 2022

Short-term passenger flow prediction for multi-traffic modes: A
Transformer and residual network based multi-task learning method

Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning methodInformation Sciences (Inf. Sci.), 2022

377

37

0

27 Feb 2022

Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic
Data Imputation with Complex Missing Patterns

Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns

255

84

0

17 Sep 2021

Page 1 of 1