Cover Image

EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Chenghua, Sun, Rui, Zheng, Yuhao, Zhang, Juyuan, Gu, Tianjun, Pan, Liming, Lv, Linyuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
by: Zheng, Yuhao, et al.
Published: (2025)

Epi$^2$-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
by: Sun, Rui, et al.
Published: (2025)

Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
by: Gong, Chenghua, et al.
Published: (2026)

TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems
by: Sun, Rui, et al.
Published: (2026)

FS_GPlib: Breaking the Web-Scale Barrier - A Unified Acceleration Framework for Graph Propagation Models
by: Guo, Chang, et al.
Published: (2026)

Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
by: Liang, Xiaoxiao, et al.
Published: (2026)

EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis
by: Samaei, Mohammad Hossein, et al.
Published: (2025)

Basic Cycle Ratio: Cost-Effective Ranking of Influential Spreaders from Local and Global Perspectives
by: Zheng, Wenxin, et al.
Published: (2025)

ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge
by: Kang, Mingyu, et al.
Published: (2026)

Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
by: Zheng, Yufan, et al.
Published: (2024)

Weighted cycle-based identification of influential node groups in complex networks
by: Zheng, Wenxin, et al.
Published: (2025)

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling
by: Liu, Songyuan, et al.
Published: (2025)

Modeling Emotional Dynamics in Social Networks: Uncovering the Positive Role of Information Cocoons in Group Emotional Stabilization
by: Ren, Jinhu, et al.
Published: (2024)

The role of susceptible individuals in spreading dynamics
by: Su, Chang, et al.
Published: (2024)

On the Interplay of Clustering and Evolution in the Emergence of Epidemic Outbreaks
by: Sood, Mansi, et al.
Published: (2024)

Dynamic Curing and Network Design in SIS Epidemic Processes
by: Yi, Yuhao, et al.
Published: (2022)

Beyond Asymptotics: Practical Insights into Community Detection in Complex Networks
by: Ke, Tianjun, et al.
Published: (2024)

A Novel Dynamic Epidemic Model for Successive Opinion Diffusion in Social Networks
by: Han, Bin, et al.
Published: (2025)

Meritocracy versus Matthew-effect: Two underlying network formation mechanisms of online social platforms
by: Xu, Yuchen, et al.
Published: (2025)

Deterministic Frequency--Domain Inference of Network Topology and Hidden Components via Structure--Behavior Scaling
by: Liang, Xiaoxiao, et al.
Published: (2025)

An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
by: Barik, Reet, et al.
Published: (2024)

Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media
by: Zhou, Fang, et al.
Published: (2021)

#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic
by: Rao, Ashwin, et al.
Published: (2024)

Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models
by: Pi, Qiankun, et al.
Published: (2026)

Epidemics on Networks
by: Kreischer, Jan, et al.
Published: (2024)

Epidemic spreading in group-structured populations
by: Patwardhan, Siddharth, et al.
Published: (2023)

A Machine Learning Framework for Constructing Heterogeneous Contact Networks: Implications for Epidemic Modelling
by: Kearney, Luke Murray, et al.
Published: (2026)

JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
by: Han, Liangzhe, et al.
Published: (2025)

Large Language Model Driven Agents for Simulating Echo Chamber Formation
by: Gu, Chenhao, et al.
Published: (2025)

Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning
by: Xu, Yifei, et al.
Published: (2025)

Identifying Disruptive Models in the Open-Source LLM Community
by: Wei, Xiaoting, et al.
Published: (2026)

Critical Nodes Identification in Complex Networks: A Survey
by: Chen, Duxin, et al.
Published: (2025)

Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)

icon: Fast Simulation of Epidemics on Coevolving Networks
by: Großmann, Gerrit, et al.
Published: (2024)

Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions
by: Eldaghar, Omar, et al.
Published: (2023)

Hierarchical Compression of Text-Rich Graphs via Large Language Models
by: Zhang, Shichang, et al.
Published: (2024)

Finding Super-spreaders in SIS Epidemics
by: Sridhar, Anirudh, et al.
Published: (2026)

Networked SIS Epidemics with Awareness
by: Paarporn, Keith, et al.
Published: (2016)

Exploring the Potential of Large Language Models for Heterophilic Graphs
by: Wu, Yuxia, et al.
Published: (2024)

Epidemic paradox induced by awareness driven network dynamics
by: Kolok, Csegő Balázs, et al.
Published: (2024)