Elvin Isufi

Combining contrastive learning with simplicial complexes improves data representation and analysis.

A new method for filtering data in expanding networks.

A method for tracking evolving connections in networks for better decision-making.

New neural networks improve analysis of complex, directed data relationships.

A look at how to learn from networks that evolve over time.

FVNNs provide a fair approach to data analysis and predictions.

STVNN offers a robust solution for analyzing complex data over time.

Discover how topological methods transform messy data into meaningful insights.