IEEE

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning

Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...
IEEE

Adaptive Policy Learning for Connected Autonomous Vehicles Defending Malicious Access Requests by Graph Reinforcement Learning

Abstract: Access requests are used in cooperative tasks among connected and automated vehicles (CAVs). Authorization decisions are determined by dynamic trust values in trust value-based access ...