Madeline Navarro

A method to predict missing information in graph nodes using local structures.

AAGCN improves how GNNs learn from complex data structures.

A novel approach to understanding networks despite missing information.

FVNNs provide a fair approach to data analysis and predictions.

Learn how low-rank tensors streamline predictions in complex systems.

Researchers enhance GNNs to improve predictions in complex data relationships.