Graph Data Insights

Šimon discusses the application of HTML NET architecture to large graph data, highlighting the challenges of traditional graph neural networks with massive datasets. By modeling binary relations between clients and domains, he emphasizes the potential to derive higher-level behavioral patterns and construct classifiers to predict the nature of domains, whether malicious or benign.