activity
20202026
most citedLearning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

168 citations · 168 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Cellular Predictions on the Move: What about Data?

Natalia Vesselinova, Pauliina Ilmonen

Mobile cellular load forecasting is native to network resource optimization and delivery of services with reliability, latency and quality guarantees. The mainstream of machine lea…

cs.NI2024

Data Matters: The Case of Predicting Mobile Cellular Traffic

Natalia Vesselinova, Matti Harjula, Pauliina Ilmonen

Accurate predictions of base stations' traffic load are essential to mobile cellular operators and their users as they support the efficient use of network resources and allow deli…

stat.AP2024

Zombie Epidemic -- on Modeling the Effect of Interventions

Kaisa Ek, Aleksi Avela, Willehard Haaki +7

The recent COVID-19 pandemic has highlighted the need of studying extreme, life-threatening phenomena in advance. In this article, a zombie epidemic in Uusimaa region in Finland is…

cs.LG2023

On the road to more accurate mobile cellular traffic predictions

Natalia Vassileva Vesselinova

The main contribution reported in the paper is a novel paradigm through which mobile cellular traffic forecasting is made substantially more accurate. Specifically, by incorporatin…

cs.LG2020★ 168 cited

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez +1

Existing approaches to solving combinatorial optimization problems on graphs suffer from the need to engineer each problem algorithmically, with practical problems recurring in man…