Abstract: For automotive applications, the Graph Attention Network (GAT) is a prominently used architecture to include relational information of a traffic scenario during feature embedding. As shown ...

Abstract: This paper introduces a novel cost-aware structure learning framework for optimizing distributed algorithms, balancing computational performance and aggregation costs. We demonstrate its ...