How deeply does Knowledge Graphs and LLMs in Action cover Hetionet?

Descends through schema design, Neo4j import, distribution checks, typed paths, and path-based analysis.

Hetionet

As explained in Knowledge Graphs and LLMs in Action

Hetionet is a biomedical knowledge graph integrating entities and relationships involving diseases, genes, drugs, and other biological concepts.

Hetionet is a heterogeneous biomedical knowledge graph integrating 29 public resources into a shared schema of compounds, diseases, genes, anatomies, pathways, biological processes, molecular functions, cellular components, perturbations, pharmacologic classes, side effects, and symptoms. section 4.3

A practical Hetionet workflow includes:

Import the publicly available Neo4j database rather than assembling the contributing resources manually. section 4.3
Inspect node and relationship distributions to evaluate schema coverage and information completeness. section 4.3

Scale and evidence

The imported graph contains 47,031 nodes across 11 types and 2,250,197 relationships across 24 types. A Compound–binds–Gene relationship records its supporting reference as an edge attribute. section 4.3

How Knowledge Graphs and LLMs in Action covers it

Cover of Knowledge Graphs and LLMs in Action

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Related concepts

Neo4j Browserused by · Neo4j Browser is an interactive browser-based client for executing Cypher queries and inspecting Neo4j databases and results.
knowledge graphimplements · A knowledge graph is a graph-structured representation of entities and their semantically meaningful relationships, often including associated attributes or facts.
knowledge graph completionused by · Knowledge graph completion is the task of inferring missing entities, relationships, or relationship types from an incomplete knowledge graph.
Cypherused by · Cypher is a declarative graph query language for expressing patterns and retrieving, creating, or modifying property-graph data.

This explainer was generated by Manning's knowledge graph from the text of Knowledge Graphs and LLMs in Action. The section links point to the parts of the book it draws on.