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Exploring the Generalizability of Spatio-Temporal Traffic Prediction:
  Meta-Modeling and an Analytic Framework

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

20 September 2020
Leye Wang
Di Chai
Xuanzhe Liu
Liyue Chen
Kai Chen
    AI4TS
ArXivPDFHTML

Papers citing "Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework"

18 / 18 papers shown
Title
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNN
AI4TS
76
1,169
0
06 Jul 2020
GMAN: A Graph Multi-Attention Network for Traffic Prediction
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng
Xiaoliang Fan
Cheng-Yu Wang
Jianzhong Qi
AI4TS
AI4CE
105
1,363
0
11 Nov 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
82
2,130
0
31 May 2019
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View
  Graph Convolutional Networks
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
Junkai Sun
Junbo Zhang
Qiaofei Li
Xiuwen Yi
Yuxuan Liang
Yu Zheng
AI4TS
48
163
0
19 Mar 2019
Bike Flow Prediction with Multi-Graph Convolutional Networks
Bike Flow Prediction with Multi-Graph Convolutional Networks
Di Chai
Leye Wang
Qiang Yang
GNN
47
265
0
28 Jul 2018
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
54
715
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
83
1,107
0
23 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
386
19,991
0
30 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
106
3,675
0
14 Sep 2017
Deep Learning for Sensor-based Activity Recognition: A Survey
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang
Yiqiang Chen
Shuji Hao
Xiaohui Peng
Lisha Hu
HAI
40
1,623
0
12 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
601
0
20 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
524
129,831
0
12 Jun 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
431
0
10 Jan 2017
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows
  Prediction
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang
Yu Zheng
Dekang Qi
3DPC
AI4TS
84
2,040
0
01 Oct 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
291
7,622
0
30 Jun 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
496
37,815
0
09 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
374
12,662
0
11 Dec 2014
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