Graph Algorithms for Data Science: With Examples in Neo4j
A

Graph Algorithms for Data Science: With Examples in Neo4j

Data Science
graph algorithms data science Neo4J Cypher machine learning social network analysis graph databases
Author
Tomaž Bratanič
Publisher
Manning Publications
Year
2024
Language
English
42
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Essential GraphRAG: Knowledge Graph–Enhanced RAG

Essential GraphRAG: Knowledge Graph–Enhanced RAG

Tomaž Bratanič, Oskar Hane

Data Structures & Algorithms in Go

Data Structures & Algorithms in Go

Hemant Jain

Grokking Algorithms

Grokking Algorithms

Автор не указан в предоставленном фрагменте

Tensor Decompositions for Data Science

Tensor Decompositions for Data Science

Grey Ballard, Tamara G. Kolda

Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified

Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified

Jeremy Kubica

Math and Architectures of Deep Learning

Math and Architectures of Deep Learning

Krishnendu Chaudhury, Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar

Data Structures and Algorithms Made Easy

Data Structures and Algorithms Made Easy

Narasimha Karumanchi

Think Data Structures: Algorithms and Information Retrieval in Java

Think Data Structures: Algorithms and Information Retrieval in Java

Allen B. Downey

Graph Neural Networks in Action

Graph Neural Networks in Action

Keita Broadwater, Namid Stillman

The Practitioner’s Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

The Practitioner’s Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

Denise Koessler Gosnell, Matthias Broecheler