Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...

Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...

Overview Pandas is a highly flexible and reliable Python Library for small to medium datasets, but it struggles with speed.Polars is built in Rust to utilize al ...

Strands Agents is a simple yet powerful SDK that takes a model-driven approach to building and running AI agents. From simple conversational assistants to complex autonomous workflows, from local ...

Abstract: Outdoor loop closure detection is essential for correcting odometry drift and constructing a globally consistent map. Semantic-graph-based approaches effectively model object-level topology ...