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 ...
Deep Learning with Yacine on MSN

Create a perceptron from scratch in Python – step by step tutorial

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

A Tutorial on Quantum Graph Recurrent Neural Network (QGRNN)

Abstract: Over the past decades, various neural networks have been proposed with the rapid development of the machine learning field. In particular, graph neural networks using feature-vectors ...
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 ...
Frontiers

Empirical analysis on the impact of university teachers’ pedagogical competence on students’ satisfaction: the mediating role of learning experience

1 College of Life Sciences, Nanjing Forestry University, Nanjing, China 2 College of Forestry, Nanjing Forestry University, Nanjing, China Many universities tend to prioritize research over teaching, ...
GitHub

Stack-Graphs Python bindings

Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...