• Last verification: 20260111
• Tools required for this lab:
  • Google Colab or your own Python environment

• Advanced topics lecture – part about Graphs (metrics) and Graph Embeddings (slides are on the main page)

All instructions for this lab have been placed in the Jupyter Notebook: Network analysis & knowledge graph embeddings

Graph libraries for Python:

• graph-tool
• NetworkX
• Benchmark of popular graph/network packages v2 (2020)

Knowledge Graph Embeddings:

• Knowledge Graph Embedding, Learning, Reasoning, Rule Mining, and Path Finding – github repository with a lot of papers and other materials
• Knowledge Graph Embeddings Tutorial: From Theory to Practice (2020) – very deep, 3h long tutorial on KGE
• Cooking with Python and KBpedia series contains Part VI: Applications and Machine Learning with some embeddings-related stuff