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Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention

Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention

22 February 2020
Haoxing Lin
Weijia Jia
Yongjian You
Yiping Sun
    AI4TS
ArXivPDFHTML

Papers citing "Interpretable Crowd Flow Prediction with Spatial-Temporal Self-Attention"

22 / 22 papers shown
Title
Predicting Path Failure In Time-Evolving Graphs
Predicting Path Failure In Time-Evolving Graphs
Jia Li
Zhichao Han
Hong Cheng
Jiao Su
Pengyun Wang
Jianfeng Zhang
Lujia Pan
GNN
26
120
0
10 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
50
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
65
1,106
0
23 Feb 2018
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for
  Network-wide Traffic Speed Prediction
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction
Zhiyong Cui
Ruimin Ke
Ziyuan Pu
Yinhai Wang
AI4TS
20
413
0
07 Jan 2018
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
75
3,675
0
14 Sep 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic
  Forecasting
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li
Rose Yu
Cyrus Shahabi
Yan Liu
GNN
DiffM
AI4TS
68
99
0
06 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
37
600
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
360
129,831
0
12 Jun 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi
Zhihan Gao
Leonard Lausen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
42
794
0
12 Jun 2017
A Generalization of Convolutional Neural Networks to Graph-Structured
  Data
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger
Purvasha Chakravarti
Jining Qin
GNN
31
87
0
26 Apr 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
65
2,040
0
01 Oct 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
227
10,412
0
21 Jul 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
242
7,622
0
30 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
Diffusion-Convolutional Neural Networks
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNN
DiffM
131
1,248
0
06 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
119
1,584
0
16 Jun 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
445
7,952
0
13 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
673
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
235
12,632
0
11 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
264
20,467
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
369
27,205
0
01 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
121
4,856
0
21 Dec 2013
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