3 papers
cs.SI2026
Code evolution for link prediction in complex networks
Alexey Vlaskin, Eduardo G. Altmann
The problem of predicting links in complex networks appears in different disciplines and has led to a variety of ingenious human-designed methods. We use this rich program space to…
cond-mat.supr-con2025
Expert Evaluation of LLM World Models: A High- Superconductivity Case Study
Haoyu Guo, Maria Tikhanovskaya, Paul Raccuglia +20
Large Language Models (LLMs) show great promise as a powerful tool for scientific literature exploration. However, their effectiveness in providing scientifically accurate and comp…
cs.SI2024
Synthetic graphs for link prediction benchmarking
Alexey Vlaskin, Eduardo G. Altmann
Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. Here we investigate the interplay between a…