Graph algorithms for data science : with examples in Neo4j /
Bratanic, Tomaz
Graph algorithms for data science : with examples in Neo4j / Tomaž Bratanič - Shelter Island : Manning, 2024 - xx, 330 p.
Includes bibliographical references and index.
Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis.
Eng
9781617299469
Graph algorithms
Machine learning
006.31 / BRA-G
Graph algorithms for data science : with examples in Neo4j / Tomaž Bratanič - Shelter Island : Manning, 2024 - xx, 330 p.
Includes bibliographical references and index.
Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis.
Eng
9781617299469
Graph algorithms
Machine learning
006.31 / BRA-G