Georgia Tech researchers propose “LABOR” (LAyer-neighborBOR sampling), a new sampling algorithm based on machine learning
The de facto models for learning representation on data structured in graphs are the Graph Neural Networks (GNN). As a result, they began to be implemented in production systems. These models convey messages along the direction of edges in the given graph with nonlinearities between different layers, updating node integrations iteratively. The computed node embeddings …