SmartDataAnalytics/Knowledge-Graph-Analysis-Programming-Exercises
Exercises for the Analysis of Knowledge Graphs
This project provides hands-on exercises for analyzing knowledge graphs, which represent real-world entities and their relationships (like people and their connections on a social network). It helps you learn how to identify missing connections, correct errors, group similar entities, and map textual information to graph entities. This resource is ideal for students, researchers, or data scientists working with complex networked data.
283 stars. No commits in the last 6 months.
Use this if you want to practically learn how to extract insights, find patterns, and make predictions using large, interconnected datasets structured as knowledge graphs.
Not ideal if you are looking for a pre-built tool or library to directly apply to your data without learning the underlying analytical methods.
Stars
283
Forks
73
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SmartDataAnalytics/Knowledge-Graph-Analysis-Programming-Exercises"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
csinva/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
ml-tooling/best-of-jupyter
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools)....
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in...
leehanchung/awesome-full-stack-machine-learning-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia,...
harleyszhang/cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/