Machine Learning on Knowledge Graphs
Category: Tutorials
- views: 82
- date: 23 October 2026
- posted by: AD-TEAM
Machine Learning on Knowledge Graphs
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 2h 6m | 426 MB
Instructor: Abhishek Kumar
What you'll learn
Traditional machine learning models often miss the complex, real-world relationships embedded in highly connected data. In this course, Machine Learning on Knowledge Graphs, you'll gain the ability to transform structured knowledge into powerful, actionable insights.
First, you'll explore how to generate rich continuous vector embeddings from graph structures. Next, you'll discover how to apply Graph Neural Networks (GNNs) for tasks like node classification and link prediction. Finally, you'll learn how to integrate these techniques into downstream applications like recommendation systems and NLP pipelines.
When you're finished with this course, you'll have the skills and knowledge of graph-based machine learning needed to build modern, context-aware AI systems.
Homepage
RapidGator
DDownload
NitroFlare
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||