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Bike Flow Prediction with Multi-Graph Convolutional Networks

Bike Flow Prediction with Multi-Graph Convolutional Networks

28 July 2018
Di Chai
Leye Wang
Qiang Yang
    GNN
ArXiv (abs)PDFHTML

Papers citing "Bike Flow Prediction with Multi-Graph Convolutional Networks"

18 / 18 papers shown
Title
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
Weiyang Kong
Kaiqi Wu
Sen Zhang
Yubao Liu
AI4TSGNN
113
1
0
27 Feb 2025
A Multi-Layer CNN-GRUSKIP model based on transformer for spatial TEMPORAL traffic flow prediction
A Multi-Layer CNN-GRUSKIP model based on transformer for spatial TEMPORAL traffic flow prediction
Karimeh Ibrahim Mohammad Ata
Mohd Khair Hassan
Ayad Ghany Ismaeel
Syed Abdul Rahman Al-Haddad
Thamer Alquthami
Sameer Alani
73
8
0
09 Jan 2025
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Leye Wang
Xu Geng
Xiaojuan Ma
Feng Liu
Qiang Yang
AI4TS
49
30
0
01 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 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
GNNAI4TS
144
3,729
0
14 Sep 2017
Deep and Confident Prediction for Time Series at Uber
Deep and Confident Prediction for Time Series at Uber
Lingxue Zhu
N. Laptev
BDLAI4TS
166
345
0
06 Sep 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
805
132,725
0
12 Jun 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
156
781
0
22 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas Guibas
GNN3DPC
191
468
0
02 Dec 2016
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
3DPCAI4TS
113
2,062
0
01 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
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
365
7,681
0
30 Jun 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCVDRLBDL
192
1,650
0
16 Dec 2015
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou
Yuanqing Lin
77
131
0
08 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
867
9,353
0
06 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
448
20,606
0
10 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
235
4,884
0
21 Dec 2013
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