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Cosine similarity for data science – complete tutorial

Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning China issues new ...
GitHub

A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge graphs.

All tutorials require a clean instance of the Neo4j graph database system running for this tutorial. a small example dataset that on which you can learn all the design ideas and modeling power of ...
IEEE

When Knowledge Graph Meets Retrieval Augmented Generation for Wireless Networks: A Tutorial and Case Study

Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
GitHub

Hack Together: Microsoft Graph and .NET

From March 1-15, 2023 we ran Hack Together: Microsoft Graph and .NET - a virtual hackathon for beginners to get started building scenario-based apps using .NET and Microsoft Graph. In this hackathon, ...
Frontiers

A systematic review and meta-analysis of motivational climate and youth sport outcomes: examining a hierarchical effects model

Objective: Although the beneficial impact of motivational climate on adolescent sport participation is well-established, key questions remain unresolved regarding its hierarchical mechanism and the ...
Frontiers

Parental autonomy support and future education planning among Chinese senior high school students: a chain mediation model integrating self-determination theory and social ...

Introduction: Parental autonomy support (PAS) has been identified as a key factor in shaping adolescents’ educational development, yet little research has examined how PAS predicts students’ future ...