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Joint predictions of multi-modal ride-hailing demands: a deep multi-task
  multigraph learning-based approach

Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach

11 November 2020
Jintao Ke
Siyuan Feng
Zheng Zhu
Hai Yang
Jieping Ye
    AI4TS
ArXivPDFHTML

Papers citing "Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach"

13 / 13 papers shown
Title
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 network
Dongran Zhang
Jiangnan Yan
K. Polat
A. Alhudhaif
Jun Li
AI4TS
70
13
0
31 Dec 2024
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in
  Urban Spatiotemporal Forecasting
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
Xu Geng
Xiyu Wu
Lingyu Zhang
Qiang Yang
Yan Liu
Jieping Ye
AI4TS
44
31
0
27 May 2019
Contextualized Spatial-Temporal Network for Taxi Origin-Destination
  Demand Prediction
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Lingbo Liu
Zhilin Qiu
Guanbin Li
Qing Wang
Wanli Ouyang
Liang Lin
AI4TS
44
208
0
15 May 2019
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for
  Traffic Prediction
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Huaxiu Yao
Xianfeng Tang
Hua Wei
Guanjie Zheng
Z. Li
AI4TS
56
720
0
03 Mar 2018
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
Huaxiu Yao
Fei Wu
Jintao Ke
Xianfeng Tang
Yitian Jia
Siyu Lu
Pinghua Gong
Jieping Ye
Z. Li
GNN
115
1,109
0
23 Feb 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
598
2,225
0
25 Jul 2017
Short-Term Forecasting of Passenger Demand under On-Demand Ride
  Services: A Spatio-Temporal Deep Learning Approach
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach
Jintao Ke
Hongyu Zheng
Hai Yang
Xiqun
X. Chen
AI4TS
50
603
0
20 Jun 2017
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction
  in Transportation Networks
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
Haiyang Yu
Zhihai Wu
Shuqin Wang
Yunpeng Wang
Xiaolei Ma
AI4TS
GNN
50
543
0
07 May 2017
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual
  Networks
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang
Yu Zheng
Dekang Qi
Ruiyuan Li
Xiuwen Yi
Tianrui Li
GNN
3DPC
HAI
AI4TS
33
433
0
10 Jan 2017
Short-term traffic flow forecasting with spatial-temporal correlation in
  a hybrid deep learning framework
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu
Huachun Tan
AI4TS
68
250
0
03 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
604
29,032
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
335
7,648
0
30 Jun 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
777
38,735
0
09 Mar 2016
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