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. 2110.11584
  4. Cited By
Multiwave COVID-19 Prediction from Social Awareness using Web Search and
  Mobility Data

Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data

22 October 2021
Jia Xue
T. Yabe
Kota Tsubouchi
J. Ma
S. Ukkusuri
ArXivPDFHTML

Papers citing "Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data"

20 / 20 papers shown
Title
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang
Chao Huang
Yong-mei Xu
Lianghao Xia
Peng Dai
Liefeng Bo
Junbo Zhang
Yu Zheng
GNN
DiffM
AI4TS
76
194
0
08 Oct 2021
Integrating LSTMs and GNNs for COVID-19 Forecasting
Integrating LSTMs and GNNs for COVID-19 Forecasting
Nathan Sesti
J. Luis
E. Crawley
B. Cameron
AI4TS
36
18
0
14 Jul 2021
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods
  Ahead of COVID-19 Outbreak
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
Congxi Xiao
Jingbo Zhou
Jizhou Huang
An Zhuo
Ji Liu
Haoyi Xiong
Dejing Dou
37
18
0
22 Dec 2020
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
34
16
0
08 Dec 2020
condLSTM-Q: A novel deep learning model for predicting Covid-19
  mortality in fine geographical Scale
condLSTM-Q: A novel deep learning model for predicting Covid-19 mortality in fine geographical Scale
HyeongChan Jo
Juhyun Kim
Tzu-Chen Huang
Yu-Li Ni
32
5
0
23 Nov 2020
Examining Deep Learning Models with Multiple Data Sources for COVID-19
  Forecasting
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang
A. Adiga
S. Venkatramanan
Jiangzhuo Chen
B. Lewis
Madhav Marathe
43
18
0
27 Oct 2020
Steering a Historical Disease Forecasting Model Under a Pandemic: Case
  of Flu and COVID-19
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
Alexander Rodríguez
Nikhil Muralidhar
B. Adhikari
Anika Tabassum
Naren Ramakrishnan
B. Prakash
LLMSV
32
27
0
23 Sep 2020
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to
  identify and normalize COVID-19 signs and symptoms to OMOP common data model
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
Jingqi Wang
Noor Abu-el-rub
Josh Gray
Huy Anh Pham
Yujia Zhou
...
Mei Liu
Xing Song
Hua Xu
Masoud Rouhizadeh
Yaoyun Zhang
31
51
0
13 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
65
194
0
06 Jul 2020
Do not forget interaction: Predicting fatality of COVID-19 patients
  using logistic regression
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression
Feng Zhou
Tao Chen
Baiying Lei
43
8
0
30 Jun 2020
MiniSeg: An Extremely Minimum Network for Efficient COVID-19
  Segmentation
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
Yu Qiu
Yun-Hai Liu
Shijie Li
Jing Xu
44
149
0
21 Apr 2020
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,515
0
20 Dec 2018
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
56
721
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
118
1,110
0
23 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
476
20,138
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
501
15,232
0
07 Jun 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Jasmijn Bastings
Ivan Titov
Wilker Aziz
Diego Marcheggiani
K. Simaán
GNN
90
492
0
15 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
614
29,051
0
09 Sep 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.0K
23,344
0
03 Jun 2014
1