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SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
  Multivariate Time Series Forecasting

SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting

18 June 2024
Yue Jiang
Xiucheng Li
Yile Chen
Shuai Liu
Weilong Kong
Antonis F. Lentzakis
Gao Cong
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting"

23 / 23 papers shown
Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu
Jinliang Deng
Lulu Zhang
Zimu Zhou
Yongxin Tong
AI4TS
159
0
0
09 May 2025
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TSAIFin
137
809
0
05 Oct 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for
  Multivariate Time Series Forecasting
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting
Zezhi Shao
Zhao Zhang
Fei Wang
Yongjun Xu
AI4TS
91
225
0
18 Jun 2022
ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TS
81
165
0
03 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
246
1,429
0
30 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
87
145
0
19 Jan 2022
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction:
  Benchmark and Solution
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Fuxian Li
J. Feng
Huan Yan
G. Jin
Depeng Jin
Yong Li
GNNAI4TS
62
377
0
30 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Chao Shang
Jie Chen
J. Bi
CMLBDLAI4TS
138
239
0
18 Jan 2021
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
GNNAI4TS
86
1,188
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
AI4TSAI4CE
117
1,380
0
11 Nov 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
137
968
0
10 Jul 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
GNNAI4TS
87
2,169
0
31 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
147
1,274
0
20 May 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
780
8,554
0
03 Jan 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Ling Zhao
Yujiao Song
Chao Zhang
Yu Liu
Pu Wang
Tao Lin
Min Deng
Haifeng Li
AI4TS
83
2,016
0
12 Nov 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
126
1,110
0
23 Feb 2018
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
GNNDiffMAI4TS
99
100
0
06 Jul 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
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
353
7,669
0
30 Jun 2016
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
8,004
0
13 Jun 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
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