Abstract: Knowledge graph reasoning (KGR) is an important task in data mining. It aims to mine the logical rules based on the existing facts and further infer new facts, which makes the graph complete ...
Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses ...
A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized ...
This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
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Creating a sonar bearing rate graph using vectors
In this video, we create a sonar bearing rate graph using vectors, showing how relative motion and vector math determine bearing changes over time. Learn the key equations, how to compute bearing rate ...
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...
Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...
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