Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures

Hector is a novel two-level intermediate representation and code generation framework that systematically addresses the performance and programming challenges of implementing relational graph neural networks (RGNNs) on GPU architectures.