Spatio-Temporal Prediction in Epidemiology Using Graph Convolution Network

S. Siji Rani; Panickar Dhanyalaxmi; A. S. Akshay; K. M. Ananthakrishnan; A. Siva Sankar

doi:10.1007/978-981-99-3761-5_34

ScienceGate Book Chapters

BOOK-CHAPTER

Spatio-Temporal Prediction in Epidemiology Using Graph Convolution Network

S. Siji Rani Panickar Dhanyalaxmi A. S. Akshay K. M. Ananthakrishnan A. Siva Sankar

Year: 2023 Lecture notes in networks and systems Pages: 367-378 Publisher: Springer International Publishing

DOI: 10.1007/978-981-99-3761-5_34

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Mean reciprocal rank Recommender system Collaborative filtering Graph Computation PageRank Data mining Reciprocal Information retrieval Clothing Ranking (information retrieval) Rank (graph theory) Convolution (computer science) Machine learning Algorithm Theoretical computer science Mathematics Geography Artificial neural network

Metrics

Cited By

18.36

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Artificial Intelligence in Healthcare

Health Sciences → Health Professions → Health Information Management

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Spatio-Temporal Prediction in Epidemiology Using Graph Convolution Network

Metrics

Citation History

Topics

Related Documents

Spatio-temporal interactive graph convolution network for vehicle trajectory prediction

A New Spatio-Temporal Graph Convolution Network For Traffic Prediction

ISTGCN: Integrated spatio-temporal modeling for traffic prediction using traffic graph convolution network

TSTA-GCN: trend spatio-temporal traffic flow prediction using adaptive graph convolution network

TIGC-Net: Transformer-Improved Graph Convolution Network for spatio-temporal prediction