Graph Embeddings with GDS
Learn how Graph Data Science generates node embeddings that turn graph structure into vectors for machine learning.
From Graphs to Vectors
Machine learning models work with numbers, not graph topology. Graph embeddings convert each node into a fixed-length vector that captures its position and neighborhood.
Why Embeddings Help
Once nodes are vectors, you can feed them into classifiers, clustering, and similarity search. Similar nodes end up close together in vector space.
All lessons in this course
- Introduction to GDS Library
- Running GDS Algorithms
- GDS Pipelines and Machine Learning
- Graph Embeddings with GDS