graph-libraries

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DerwenAI /kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

graph-algorithms sparql inference pandas owl rdflib networkx knowledge-graph json-ld parquet skos shacl python-igraph r2rml-mapping probabilistic-soft-logic rapids pyvis roamresearch graph-libraries graph-thinking

UpdatedNov 23, 2024
Jupyter Notebook

tfardet /NNGT

Star15

Unified generation and analysis of networks in Python, with neuroscientific additions

python network neuroscience networkx graph-theory nest igraph graph-tool graph-libraries

UpdatedJun 22, 2024
Python

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