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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Security Risk Assessment Using Bayesian Attack Graphs and Complex Probabilities for Large Scale IoT Applications

Abstract: The Internet of Things (IoT) infrastructure is a network of interconnected devices and systems, with applications ranging from remote healthcare to large-scale industrial applications.
IEEE

Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction Using Diffusion Graph Convolutional Networks

Abstract: Predicting vehicle trajectories is crucial to ensuring automated vehicle operation efficiency and safety, particularly on congested multi-lane highways. In such dynamic environments, a ...
GitHub

awong789/dynamics365-knowledge-graph

Due to the nature of query languange, there are limitation for LLMs to extract meaning and relationship within traditional record based system. Knowledge graph has been proven to improve the accuracy ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...