nju-websoft/muKG
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022
This tool helps researchers and data scientists analyze complex relationships within and across large datasets, known as knowledge graphs. It takes raw knowledge graph data (like entities and their connections) and processes it to identify patterns, predict missing links, align similar entities across different graphs, or categorize entities. The output is a refined understanding of your data, enabling better decision-making or insights for tasks like data integration or semantic search.
112 stars. No commits in the last 6 months.
Use this if you need to extract deeper insights from single or multiple knowledge graphs, predict missing information, or align data across different graph sources using advanced machine learning techniques.
Not ideal if your primary goal is simple data visualization or basic querying of a knowledge graph without the need for sophisticated predictive modeling or cross-graph analysis.
Stars
112
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Nov 30, 2022
Commits (30d)
0
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