ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.05631
  4. Cited By
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series
  Modeling
v1v2 (latest)

ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

13 March 2019
Ting Yu
Haoteng Yin
Zhanxing Zhu
    AI4TSGNN
ArXiv (abs)PDFHTML

Papers citing "ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling"

21 / 21 papers shown
Title
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
103
9
0
24 May 2024
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
86
594
0
12 Aug 2018
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
Chaolong Li
Zhen Cui
Wenming Zheng
Chunyan Xu
Jian Yang
69
172
0
27 Feb 2018
Dilated Recurrent Neural Networks
Dilated Recurrent Neural Networks
Shiyu Chang
Yang Zhang
Wei Han
Mo Yu
Xiaoxiao Guo
Wei Tan
Xiaodong Cui
Michael Witbrock
M. Hasegawa-Johnson
Thomas S. Huang
80
301
0
05 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
GNNAI4TS
116
3,715
0
14 Sep 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 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
GNN3DPCHAIAI4TS
49
435
0
10 Jan 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
148
775
0
22 Dec 2016
Phased LSTM: Accelerating Recurrent Network Training for Long or
  Event-based Sequences
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil
Michael Pfeiffer
Shih-Chii Liu
AI4TS
66
448
0
29 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
641
29,076
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
350
7,655
0
30 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
138
2,154
0
17 May 2016
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
145
1,093
0
17 Nov 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
566
7,992
0
13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
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
593
12,713
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
437
20,568
0
10 Sep 2014
A Clockwork RNN
A Clockwork RNN
Jan Koutník
Klaus Greff
Faustino J. Gomez
Jürgen Schmidhuber
86
500
0
14 Feb 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
220
4,882
0
21 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
595
15,893
0
12 Nov 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
130
3,974
0
31 Oct 2012
1