most citedA Review of Graph Neural Networks in Epidemic Modeling

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Agentic RCA for Internet-Scale Services Using Constrained Creativity

Sayan Sinha, Vipul Harsh, B. Aditya Prakash +2

System administrators of Internet-scale services need to resolve failure incidents to maintain reliability of such services. Ideally, we want a troubleshooting system to be: (1) ex…

cs.CL2026

Science Utopia? Closed-Loop LLM Simulation of Academic Research Ecosystems

Yiqiao Jin, Yiyang Wang, Lucheng Fu +8

Scientific progress emerges from a longitudinal ecosystem in which researchers, institutions, funding agencies, collaboration networks, and the scientific literature co-evolve. As…

cs.LG2024

Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph

Guancheng Wan, Zewen Liu, Max S. Y. Lau +2

Effective epidemic forecasting is critical for public health strategies and efficient medical resource allocation, especially in the face of rapidly spreading infectious diseases.…

cs.LG2024★ 2 cited

A Review of Graph Neural Networks in Epidemic Modeling

Zewen Liu, Guancheng Wan, B. Aditya Prakash +2

Since the onset of the COVID-19 pandemic, there has been a growing interest in studying epidemiological models. Traditional mechanistic models mathematically describe the transmiss…

cs.SI2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Mohammad Hashemi, Shengbo Gong, Juntong Ni +3

Many real-world datasets can be naturally represented as graphs, spanning a wide range of domains. However, the increasing complexity and size of graph datasets present significant…