To provide efficient charging behavior decision-making for urban electric vehicles (EVs), this article proposes a new platform for real-time EV charging navigation (EVCN) based on graph reinforcement ...

Cooperative decision-making technology for connected and autonomous vehicles (CAVs) plays a crucial role in the advancement of autonomous driving. Recently, graph reinforcement learning (GRL)-based ...

The openshift-client-python library aims to provide a readable, concise, comprehensive, and fluent API for rich interactions with an OpenShift cluster. Unlike other clients, this library exclusively ...

Explore the latest news, real-world incidents, expert analysis, and trends in Python — only on The Hacker News, the leading cybersecurity and IT news platform.

IJCNN 2025 Competition: Learning with Noisy Graph Labels Handling noisy data is a persistent issue in machine learning, but it takes on a unique complexity in the context of graph structures. In ...