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MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic
  Forecasting

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting

30 August 2023
Mingjie Qiu
Zhiyi Tan
Bingkun Bao
ArXivPDFHTML

Papers citing "MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting"

13 / 13 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TS
AI4CE
420
1
0
29 Mar 2025
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event
  Prediction
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
G. Jin
Lingbo Liu
Fuxian Li
Jincai Huang
AI4TS
GNN
3DPC
42
35
0
15 Nov 2023
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for
  Regional Epidemic Forecasting
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Feng Xie
Zhong Zhang
Liang Li
B. Zhou
Yusong Tan
29
23
0
23 Aug 2022
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
47
512
0
13 Mar 2021
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological
  Regularization
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas
Cheng Qian
N. Sidiropoulos
Cao Xiao
Lucas Glass
Jimeng Sun
27
16
0
08 Dec 2020
Inter-Series Attention Model for COVID-19 Forecasting
Inter-Series Attention Model for COVID-19 Forecasting
Xiaoyong Jin
Yu Wang
Xifeng Yan
AI4TS
37
36
0
25 Oct 2020
Interpretable Sequence Learning for COVID-19 Forecasting
Interpretable Sequence Learning for COVID-19 Forecasting
Sercan O. Arik
Chun-Liang Li
Jinsung Yoon
Rajarishi Sinha
Arkady Epshteyn
...
Martin Nikoltchev
Yash Sonthalia
Hootan Nakhost
Elli Kanal
Tomas Pfister
AI4TS
50
83
0
03 Aug 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and
  Policy Assessment using Compartmental Gaussian Processes
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian
Ahmed Alaa
M. Schaar
46
33
0
13 May 2020
Measuring and Relieving the Over-smoothing Problem for Graph Neural
  Networks from the Topological View
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
78
1,100
0
07 Sep 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
2,151
0
31 May 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
418
20,061
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
573
28,964
0
09 Sep 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
524
7,977
0
13 Jun 2015
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