Neo4j Live: Entity Resolution and Deduplication with Neo4j and GenAI

Starting with a knowledge graph constructed from unstructured data with the help of LLMs, we'll address the common challenge of duplicated entities resulting from variations in extracted names and identifiers.
Discover how Neo4j’s Node Similarity algorithms can be leveraged to identify and merge these entities, enhancing the accuracy and usability of your data.
Guest: Johannes Jolkkonen ‪@johannesjolkkonen‬
Graphstuff.FM: graphstuff.fm/...
Node Similarity: neo4j.com/docs...
fastRP: neo4j.com/docs...
Entity Resolution and Deduping: Best Practices From Neo4j's Field Team • NODES 2023 - Entity Re...
#neo4j #graphdatabase #entity #duplicate #genai #llm #knowledgegraph

[@johnkintree763]

When different graphs have nodes that represent the same entity, those nodes can be linked as a way to merge the graphs. Correct?

[@neo4j]

yes, that is correct.
You can look at how this is done:
ruclips.net/user/live9ZXuof23Noo?si=O1ju9lw3-8YjfekU
or
ruclips.net/user/liveAurp3eztRHM?si=d8hkOq2BEeDeqn1-

[@user-jo8fq8td3n]

How would you relate this to bioinformatics field?