Cover Image

Leveraging graph neural networks and mobility data for COVID-19 forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Duarte, Fernando H. O., Moreira, Gladston J. P., Luz, Eduardo J. S., Santos, Leonardo B. L., Freitas, Vander L. S.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks
by: Oliveira, Rafael F., et al.
Published: (2024)

Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models
by: Negrão, Arthur, et al.
Published: (2026)

Temporal social network modeling of mobile connectivity data with graph neural networks
by: Jaskari, Joel, et al.
Published: (2025)

A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
by: Silva, Guilherme, et al.
Published: (2025)

A High-Performance Evolutionary Multiobjective Community Detection Algorithm
by: Santos, Guilherme O., et al.
Published: (2025)

A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks
by: Hong, Ye, et al.
Published: (2023)

PD-Loss: Proxy-Decidability for Efficient Metric Learning
by: Silva, Pedro, et al.
Published: (2025)

A survey of dynamic graph neural networks
by: Zheng, Yanping, et al.
Published: (2024)

PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
by: Yu, Shuo, et al.
Published: (2024)

Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images
by: Andrade, Michele, et al.
Published: (2025)

Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico
by: Ramírez-Ramírez, L. Leticia, et al.
Published: (2022)

A graph neural network based on feature network for identifying influential nodes
by: Hu, Yanmei, et al.
Published: (2025)

Community detection robustness of graph neural networks
by: Goel, Jaidev, et al.
Published: (2025)

Precipitation event-based networks: an analysis of the relations between network metrics and meteorological properties
by: Jorge, Aurelienne A. S., et al.
Published: (2022)

PoPStat-COVID19: Leveraging Population Pyramids to Quantify Demographic Vulnerability to COVID-19
by: Wijenayake, Buddhi, et al.
Published: (2025)

Learning production functions for supply chains with graph neural networks
by: Chang, Serina, et al.
Published: (2024)

Attention is all you need for boosting graph convolutional neural network
by: Wu, Yinwei
Published: (2024)

Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy
by: Dimarco, Giacomo, et al.
Published: (2025)

Confrontation of capitalism and socialism in Wikipedia networks
by: Ermann, Leonardo, et al.
Published: (2024)

Uncertainty propagation analysis for distributed hydrological forecasting using a neural network
by: Jaqueline A. J. P. Soares, et al.
Published: (2024)

Measuring social mobility in temporal networks
by: Barnes, Matthew Russell, et al.
Published: (2025)

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
by: Nascimento, Gustavo V., et al.
Published: (2025)

MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization
by: Câmara, Sara, et al.
Published: (2025)

Some aspects of modelling subject area of forecasting database
by: Kokoz, L.M., et al.
Published: (1994)

Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
by: Almeida, Pablo G., et al.
Published: (2025)

Compressing the chronology of a temporal network with graph commutators
by: Allen, Andrea J., et al.
Published: (2022)

Latent patterns of urban mixing in mobility analysis across five global cities
by: Fan, Z., et al.
Published: (2026)

Urban mobility network centrality predicts social resilience
by: Chen, Lin, et al.
Published: (2026)

A spatiotemporal knowledge graph-based method for identifying individual activity locations from mobile phone data
by: Li, Jian, et al.
Published: (2024)

Refining music sample identification with a self-supervised graph neural network
by: Bhattacharjee, Aditya, et al.
Published: (2025)

Urban delineation through the lens of commute networks: Leveraging graph embeddings to distinguish socioeconomic groups in cities
by: Khulbe, Devashish, et al.
Published: (2025)

Access: A Study of Information Storage and Retrieval with Emphasis on Library Information Systems. Interim Report.
by: Resnikoff, H. L., et al.
Published: (1971)

Overcoming catastrophic forgetting in neural networks
by: Loke, Brandon Shuen Yi, et al.
Published: (2025)

COVID-19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages
by: Sun, Qianqian, et al.
Published: (2020)

Access; A Study of Information Storage and Retrieval With Emphasis on Library Information Systems. Final Report.
by: Resnikoff, H. L., et al.
Published: (1972)

Attention-based graph neural networks: a survey
by: Sun, Chengcheng, et al.
Published: (2026)

Opinion formation in Wikipedia Ising networks
by: Ermann, Leonardo, et al.
Published: (2025)

Key factors and network model for location-based cultural mobile game design
by: Li, Ruo-Yu, et al.
Published: (2024)

Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
by: Trieu, Hoang-An, et al.
Published: (2025)

Hierarchical equivariant graph neural networks for forecasting collective motion in vortex clusters and microswimmers
by: Linot, Alec J., et al.
Published: (2024)