Justin Carpenter

Scalable and Expressive Graph Representation Learning with Temporal, Structural, and Zero-Shot Capabilities

Graph representation learning has emerged as a foundational discipline within modern data science, essential for modeling the complex relational systems ubiquitous in domains from social networks to bioinformatics. However, conventional approaches, particularly Graph Neural Networks (GNN), exhibit significant limitatio...