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Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

23 February 2018
Huaxiu Yao
Fei Wu
Jintao Ke
Xianfeng Tang
Yitian Jia
Siyu Lu
Pinghua Gong
Jieping Ye
Z. Li
    GNN
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Papers citing "Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction"

50 / 163 papers shown
Title
ICN: Interactive Convolutional Network for Forecasting Travel Demand of
  Shared Micromobility
ICN: Interactive Convolutional Network for Forecasting Travel Demand of Shared Micromobility
Yiming Xu
Qian Ke
Xiaojian Zhang
Xilei Zhao
HAI
21
5
0
24 Jun 2023
Neural Multigrid Memory For Computational Fluid Dynamics
Neural Multigrid Memory For Computational Fluid Dynamics
Duc Minh Nguyen
Minh Nhat Vu
T. Nguyen
T. Huynh
Nguyen Tri Nguyen
Truong-Son Hy
AI4CE
57
1
0
21 Jun 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Yuxuan Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
49
8
0
19 Jun 2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for
  Zero-inflated and Long-tail Travel Demand Prediction
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Xinke Jiang
Dingyi Zhuang
Xianghui Zhang
Hao Chen
Jiayuan Luo
Xiaowei Gao
26
21
0
16 Jun 2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Junpeng Lin
Ziyue Li
Zhishuai Li
Lei Bai
Rui Zhao
Chen Zhang
GNN
AI4TS
10
17
0
12 Jun 2023
Traffic Prediction using Artificial Intelligence: Review of Recent
  Advances and Emerging Opportunities
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan
Collin Meese
Wanxin Li
Xiaoliang (George) Zhao
Mark M. Nejad
38
109
0
31 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and
  Scalable Time Series Forecasting
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
Jinliang Deng
Xiusi Chen
Renhe Jiang
Du Yin
Yezhou Yang
Xuan Song
Ivor W. Tsang
BDL
AI4TS
32
16
0
22 May 2023
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning
Yumeki Goto
Tomoya Matsumoto
Hamada Rizk
Naoto Yanai
Hirozumi Yamaguchi
33
6
0
14 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban
  Spatial-Temporal Prediction
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction
Jiawei Jiang
Chengkai Han
Wenjun Jiang
Wayne Xin Zhao
Jingyuan Wang
AI4TS
AI4CE
48
7
0
27 Apr 2023
Reinforcement Learning Approaches for Traffic Signal Control under
  Missing Data
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei
Junxian Li
Bin Shi
Hua Wei
32
9
0
21 Apr 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
Zijian Zhang
Xiangyu Zhao
Hao Miao
Chunxu Zhang
Hongwei Zhao
Junbo Zhang
AI4TS
37
19
0
16 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
72
142
0
11 Apr 2023
A Survey of Machine Learning-Based Ride-Hailing Planning
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
29
4
0
26 Mar 2023
Urban Regional Function Guided Traffic Flow Prediction
Urban Regional Function Guided Traffic Flow Prediction
Kuo Wang
Lingbo Liu
Yang Liu
Guanbin Li
Fan Zhou
Liang Lin
38
25
0
17 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
46
12
0
10 Mar 2023
Uncertainty Quantification of Spatiotemporal Travel Demand with
  Probabilistic Graph Neural Networks
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
Qingyi Wang
Shenhao Wang
Dingyi Zhuang
Haris N. Koutsopoulos
Jinhua Zhao
AI4TS
19
19
0
07 Mar 2023
A Unified Representation Framework for Rideshare Marketplace Equilibrium
  and Efficiency
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency
Alex J. Chin
Zhiwei Qin
24
2
0
28 Feb 2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal
  Kriging
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Chuanpan Zheng
Xiaoliang Fan
Cheng-i Wang
Jianzhong Qi
Chaochao Chen
Longbiao Chen
AI4TS
31
19
0
06 Feb 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising
  Diffusion Models
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen
Youfang Lin
Yutong Xia
Huaiyu Wan
Qingsong Wen
Roger Zimmermann
Keli Zhang
DiffM
31
83
0
31 Jan 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and
  Accurate Spatiotemporal Learning Perspective
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Xu Wang
Pengfei Gu
Pengkun Wang
Binwu Wang
Zhengyang Zhou
Lei Bai
Yang Wang
GNN
20
3
0
27 Jan 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for
  Traffic Flow Prediction
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
AI4TS
33
248
0
19 Jan 2023
GT-CausIn: a novel causal-based insight for traffic prediction
GT-CausIn: a novel causal-based insight for traffic prediction
Ting Gao
Rodrigo Marques
Lei Yu
CML
AI4TS
8
3
0
12 Dec 2022
Short term prediction of demand for ride hailing services: A deep
  learning approach
Short term prediction of demand for ride hailing services: A deep learning approach
Long Chen
Piyushimita
P. Thakuriah
K. Ampountolas
AI4TS
28
21
0
07 Dec 2022
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
Geo-Adaptive Deep Spatio-Temporal predictive modeling for human mobility
S. M. A. Zaidi
V. Chandola
Eunhye Yoo
3DH
44
0
0
27 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban
  Village Detection
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Congxi Xiao
Jingbo Zhou
Jizhou Huang
Hengshu Zhu
Tong Xu
Dejing Dou
Hui Xiong
31
15
0
26 Nov 2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with
  Offline Deep Reinforcement Learning
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
Yanqiu Wu
Qingyang Li
Zhiwei Qin
OffRL
20
3
0
06 Nov 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Lilas Alrahis
Satwik Patnaik
Mohamed Bennai
Ozgur Sinanoglu
28
16
0
17 Aug 2022
Modeling Network-level Traffic Flow Transitions on Sparse Data
Modeling Network-level Traffic Flow Transitions on Sparse Data
Xiaoliang Lei
Hao Mei
Bin Shi
Hua Wei
8
20
0
13 Aug 2022
Uncertainty Quantification of Sparse Travel Demand Prediction with
  Spatial-Temporal Graph Neural Networks
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
Dingyi Zhuang
Shenhao Wang
Haris N. Koutsopoulos
Jinhua Zhao
26
33
0
11 Aug 2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow
  Forecasting
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
Aosong Feng
Leandros Tassiulas
AI4TS
22
59
0
09 Jul 2022
Online Trajectory Prediction for Metropolitan Scale Mobility Digital
  Twin
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin
Z. Fan
Xiaojie Yang
Wei Yuan
Renhe Jiang
Quanjun Chen
Xuan Song
Ryosuke Shibasaki
19
18
0
21 Jun 2022
Dynamic Graph Learning Based on Hierarchical Memory for
  Origin-Destination Demand Prediction
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang
Liangzhe Han
Boyi Liu
Jiayuan Zeng
Leilei Sun
AI4TS
24
13
0
29 May 2022
A Correlation Information-based Spatiotemporal Network for Traffic Flow
  Forecasting
A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
Wei-Guo Zhu
Yongqi Sun
Xintong Yi
Yan Wang
36
17
0
20 May 2022
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNN
AI4TS
26
29
0
18 May 2022
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
Hongjun Wang
Jiyuan Chen
Z. Fan
Zhiwen Zhang
Zekun Cai
Xuan Song
MoE
27
9
0
05 May 2022
Exploring the impact of spatiotemporal granularity on the demand
  prediction of dynamic ride-hailing
Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing
Kai Liu
Zhijun Chen
Toshiyuki Yamamoto
Liheng Tuo
11
13
0
19 Mar 2022
Enhancing crowd flow prediction in various spatial and temporal
  granularities
Enhancing crowd flow prediction in various spatial and temporal granularities
Marco Cardia
Massimiliano Luca
Luca Pappalardo
DiffM
16
8
0
12 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as
  Relational Inductive Biases
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases
Mingxiao Li
Yihong Tang
Wei-Ying Ma
GNN
AI4TS
26
9
0
08 Mar 2022
On the importance of stationarity, strong baselines and benchmarks in
  transport prediction problems
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems
Filipe Rodrigues
AI4TS
19
1
0
06 Mar 2022
Attention-based Contextual Multi-View Graph Convolutional Networks for
  Short-term Population Prediction
Attention-based Contextual Multi-View Graph Convolutional Networks for Short-term Population Prediction
Yuki Kubota
Y. Ohira
Tetsuo Shimizu
HAI
18
4
0
01 Mar 2022
Combating Distribution Shift for Accurate Time Series Forecasting via
  Hypernetworks
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
Wenying Duan
Xiaoxi He
Lu Zhou
Lothar Thiele
Hong Rao
TTA
AI4TS
32
10
0
22 Feb 2022
HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting
Minbo Ma
Peng Xie
Fei Teng
Tian-Jie Li
Bin Wang
Shenggong Ji
Junbo Zhang
AI4TS
20
9
0
22 Jan 2022
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal
  Prediction Models [Technical Report]
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
Jiabao Jin
Peng Cheng
Lei Chen
Xuemin Lin
Wenbo Zhang
14
8
0
10 Jan 2022
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike
  Sharing Systems
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
Bárbara Tavares
Cláudia Soares
Manuel Marques
18
2
0
03 Jan 2022
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic
  Forecasting
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting
Guanyao Li
Shuhan Zhong
Shueng-Han Gary Chan
Ruiyuan Li
Chih-Chieh Hung
Wen-Chih Peng
AI4TS
40
26
0
30 Dec 2021
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
40
6
0
18 Dec 2021
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
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
37
48
0
15 Dec 2021
Event-Aware Multimodal Mobility Nowcasting
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang
Renhe Jiang
Hao Xue
Flora D. Salim
Xuan Song
Ryosuke Shibasaki
43
36
0
14 Dec 2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic
  Forecasting
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Yanjun Qin
Yuchen Fang
Haiyong Luo
Fang Zhao
Chenxing Wang
AI4TS
89
9
0
04 Dec 2021
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