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- 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.
strwythura
PublicStrwythura: construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain. This produces a Streamlit app, with MLOps instrumentation.kleptosyn
PublicSynthetic data generation for investigative graphs based on patterns of bad-actor tradecraft.- Streamlit demo using DSPy to summarize JSON from the Senzing SDK
nyddu
Publicbwyd
PublicA domain specific language for authoring and navigating collections of recipes.- A minimal example of RAG, based on DSPy
- Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
- Connected Data London 2025 Masterclass: Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs
senzing_starter_kit
Publicshpxbsszhfx
Publiccc_cluster
Publiccdl2024_masterclass
PublicConnected Data London 2024, ERKG masterclass: how to generate knowledge graphs from structured and unstructured data based on entity resolution (ER) to enhance data quality for the downstream AI applicationskuzu-rdflib
Publicsz-starter
PublicERKG
PublicDemonstrate integration of Senzing and Neo4j to construct an Entity Resolved Knowledge Graphmkrefs
PublicMkDocs plugin to generate semantic reference Markdown pages from a knowledge graphtextgraphs
Public archiveTextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graphray_tutorial
Public archiveAn introductory tutorial about leveraging Ray core features for distributed patterns.flask_example
Publicarxiv-trends
PublicAnalyze trends in articles published on arXivspaCy
Publicdisparity_filter
PublicImplements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)pynock
PublicA proposed standard `NOCK` for a Parquet format that supports efficient distributed serialization of multiple kinds of graph technologiesray_base
Public archiveibm_dsc_articles
Publicsemantic-python-overview
Publicrllib_tutorials
Public archiveRLlib tutorialsgym_example
Public archiveAn example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial