Cover Image

PANDORA: Deep graph learning based COVID-19 infection risk level forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Shuo, Xia, Feng, Wang, Yueru, Li, Shihao, Febrinanto, Falih, Chetty, Madhu
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Artificial Intelligence Computers and Society Machine Learning Physics and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Auditing Algorithmic Personalization in TikTok Comment Sections
by: Yan, Yueru, et al.
Published: (2026)

How COVID-19 has Impacted the Anti-Vaccine Discourse: A Large-Scale Twitter Study Spanning Pre-COVID and Post-COVID Era
by: Poddar, Soham, et al.
Published: (2024)

Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
by: Yin, Kai, et al.
Published: (2023)

Perceived Social Influence on Vaccination Decisions: A COVID-19 Case Study
by: Yewell, Denise, et al.
Published: (2024)

The Persistence of Contrarianism on Twitter: Mapping users' sharing habits for the Ukraine war, COVID-19 vaccination, and the 2022 Midterm Elections
by: Axelrod, David, et al.
Published: (2024)

Supervision policies can shape long-term risk management in general-purpose AI models
by: Cebrian, Manuel, et al.
Published: (2025)

Deep Generative Model for Human Mobility Behavior
by: Hong, Ye, et al.
Published: (2025)

The social graph based on real data
by: Gwizdałła, Tomasz M., et al.
Published: (2024)

The Impact of School and Family Networks on COVID-19 Infections Among Dutch Students: A Study Using Population-Level Registry Data
by: Garcia-Bernardo, Javier, et al.
Published: (2024)

Reducing COVID-19 Misinformation Spread by Introducing Information Diffusion Delay Using Agent-based Modeling
by: Alassad, Mustafa, et al.
Published: (2024)

Whose Name Comes Up? Benchmarking and Intervention-Based Auditing of LLM-Based Scholar Recommendation
by: Espin-Noboa, Lisette, et al.
Published: (2026)

Information Cascade Prediction under Public Emergencies: A Survey
by: Zhang, Qi, et al.
Published: (2024)

Physics-Informed High-order Graph Dynamics Identification Learning for Predicting Complex Networks Long-term Dynamics
by: Wang, Bicheng, et al.
Published: (2025)

Mapping the interaction between science and misinformation in COVID-19 tweets
by: Alvarez-Zuzek, Lucila G., et al.
Published: (2025)

Effects of Antivaccine Tweets on COVID-19 Vaccinations, Cases, and Deaths
by: Bollenbacher, John, et al.
Published: (2024)

Leveraging LLM-based agents for social science research: insights from citation network simulations
by: Ji, Jiarui, et al.
Published: (2025)

The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
by: Cekini, Kamer, et al.
Published: (2025)

The Coexistence of Infection Spread Patterns in the Global Dynamics of COVID-19 Dissemination
by: Inoue, Hiroyasu, et al.
Published: (2024)

Misinformation and Polarization around COVID-19 vaccines in France, Germany, and Italy
by: Nogara, Gianluca, et al.
Published: (2024)

The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
by: Singh, Iknoor, et al.
Published: (2021)

Characterizing the Dynamics of Conspiracy Related German Telegram Conversations during COVID-19
by: Höldrich, Elisabeth, et al.
Published: (2025)

Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks
by: Cekini, Kamer, et al.
Published: (2024)

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

Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic
by: Chen, Xi, et al.
Published: (2024)

Whom We Trust, What We Fear: COVID-19 Fear and the Politics of Information
by: Baccega, Daniele, et al.
Published: (2025)

"Here's Your Evidence": False Consensus in Public Twitter Discussions of COVID-19 Science
by: Efstratiou, Alexandros, et al.
Published: (2024)

Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic
by: Alamir, Salwa, et al.
Published: (2024)

The Morbid Realities of Social Media: An Investigation into the Misinformation Shared by the Deceased Victims of COVID-19
by: Habib, Hussam, et al.
Published: (2022)

Detecting Conspiracy Theory Against COVID-19 Vaccines
by: Amin, Md Hasibul, et al.
Published: (2022)

Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning
by: Fu, Wenjie, et al.
Published: (2023)

Quantifying Media Influence on Covid-19 Mask-Wearing Beliefs
by: Rabb, Nicholas, et al.
Published: (2024)

Non-coresident family as a driver of migration change in a crisis: The case of the COVID-19 pandemic
by: Kan, Unchitta, et al.
Published: (2023)

From Pro, Anti to Informative and Hesitant: An Infoveillance study of COVID-19 vaccines and vaccination discourse on Twitter
by: Singh, Pardeep, et al.
Published: (2024)

Extracting real social interactions from social media: a debate of COVID-19 policies in Mexico
by: García-Rodríguez, Alberto, et al.
Published: (2021)

The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
by: Castioni, Piergiorgio, et al.
Published: (2021)

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

Low Government Performance and Uncivil Political Posts on Social Media: Evidence from the COVID-19 Crisis in the US
by: Nishi, Kohei
Published: (2021)

Unveiling the Dynamics of Censorship, COVID-19 Regulations, and Protest: An Empirical Study of Chinese Subreddit r/china_irl
by: Zhou, Siyi, et al.
Published: (2023)

Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies
by: Boland, Katarina, et al.
Published: (2024)

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)