Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Algorithmes et Structures de Données 1 - Département TIC - HEIG-VD

📓 Some simple visualization and analysis of weibo user data using graph_tools.

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Some graph theory approaches, using Jupyter Notebooks

A collection of Colab/Jupyter Notebooks for NLP, collection, analysis, and visualization.

Collaborative jupyter notebooks to share practice problems

A bunch of algorithms, I learnt during the 4th sem engineering curriculum

Notebooks for AnalyzingSpammers NODES2022 presentation

The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.

Relationship prediction between nodes using Neo4J and Jupiter Notebook

Collection of notebooks written while learning to work with the Twitter API

A quickstart tutorial / guide to learn the Graph-Tool library

This notebook is part of a project on Graph Embedding Techniques. It's a comparison between DeepWalk and Node2Vec using SkipGram applied to a dataset called Github Social Network. I did several tests with different p and q values for Node2Vec, the last p = 0.25 and q = 0.25 were the ones that gave me the best result.