Home » org.neo4j.gds » ml-core » 2.5.0-alpha03

Neo4j Graph Data Science :: Machine Learning Core » 2.5.0-alpha03

Neo4j Graph Data Science :: Machine Learning Core

LicenseGPL 3.0
CategoriesMachine Learning
Tagsdatabaseaigraphneo4jmachine-learning
HomePage https://neo4j.com/ 🔍 Inspect URL
DateAug 14, 2023
Filespom (6 KB)  jar (129 KB)  View All
RepositoriesCentral
Ranking#32610 in MvnRepository (See Top Artifacts)
#10 in Machine Learning
Used By15 artifacts
VulnerabilitiesVulnerabilities from dependencies:
CVE-2025-58057
CVE-2025-58056
CVE-2025-55163
View 4 more ...

Note: There is a new version for this artifact

New Version2.23.0

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (0)

Category/License Group / ArtifactVersionUpdates

Runtime Dependencies (6)

Category/License Group / ArtifactVersionUpdates

Apache 2.0		org.ejml » ejml-core 0.430.44.0
Vector/Matrix Libs
Apache 2.0		org.ejml » ejml-ddense 0.430.44.0
Annotation Lib
GPL 3.0		org.neo4j.gds » annotations 2.5.0-alpha032.23.0

GPL 3.0		org.neo4j.gds » core 2.5.0-alpha032.23.0

GPL 3.0		org.neo4j.gds » memory-usage 2.5.0-alpha032.23.0

GPL 3.0		org.neo4j.gds » string-formatting 2.5.0-alpha032.23.0

Managed Dependencies (25)

Category/License Group / ArtifactVersionUpdates

Apache 2.0		io.grpc » grpc-api 1.57.11.76.0

Apache 2.0		io.grpc » grpc-context 1.57.11.76.0
Dist Communication
Apache 2.0		io.grpc » grpc-core 1.57.11.76.0

Apache 2.0		io.grpc » grpc-netty 1.57.11.76.0
Serializer
Apache 2.0		io.grpc » grpc-protobuf 1.57.11.76.0

Apache 2.0		io.grpc » grpc-protobuf-lite 1.57.11.76.0

Apache 2.0		io.grpc » grpc-services 1.57.11.76.0
Dist Communication
Apache 2.0		io.grpc » grpc-stub 1.57.11.76.0

Apache 2.0		io.netty » netty-transport-native-epoll 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-transport-native-kqueue 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-buffer 4.1.96.Final4.2.7.Final
Netty Codec
Apache 2.0		io.netty » netty-codec1 vulnerability 4.1.96.Final4.2.7.Final
Netty Codec
Apache 2.0		io.netty » netty-codec-http2 vulnerabilities 4.1.96.Final4.2.7.Final
Netty Codec
Apache 2.0		io.netty » netty-codec-http21 vulnerability 4.1.96.Final4.2.7.Final
Netty Codec
Apache 2.0		io.netty » netty-codec-socks 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-common2 vulnerabilities 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-handler1 vulnerability 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-handler-proxy 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-resolver 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-tcnative-boringssl-static 2.0.61.Final2.0.74.Final

Apache 2.0		io.netty » netty-tcnative-classes 2.0.61.Final2.0.74.Final

Apache 2.0		io.netty » netty-transport 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-transport-classes-epoll 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-transport-classes-kqueue 4.1.96.Final4.2.7.Final

Apache 2.0		io.netty » netty-transport-native-unix-common 4.1.96.Final4.2.7.Final

Licenses

LicenseURL
GNU General Public License, Version 3 https://www.gnu.org/licenses/gpl-3.0-standalone.html

Developers

NameEmailDev IdRolesOrganization
Team Graph Data Science, Neo4jneo4j

Related Books

Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java EnterpriseApplied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025)
by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale
Neo4j: The Definitive Guide: Hands-On Recipes for Production Ready Graph ImplementationsNeo4j: The Definitive Guide: Hands-On Recipes for Production Ready Graph Implementations (2025)
by Misquitta, Luanne, Willemsen, Christophe
AI for Everyday IT: Accelerate workplace productivityAI for Everyday IT: Accelerate workplace productivity (2025)
by LeMaire, Chrissy, Abshire, Brandon
Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AIBuilding Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI (2025)
by Anthapu, Ravindranatha, Agarwal, Siddhant, Webber, Dr. Jim, Risch, Dr. Julian
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI SystemsThe AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025)
by Caldwell, Thomas R.
Getting Started with Neo4j: A Beginner’s Guide to Graph Database TechnologyGetting Started with Neo4j: A Beginner’s Guide to Graph Database Technology (2025)
by PANCHTILAK, NARENDRA
Machine Learning Algorithms in DepthMachine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim
AI Engineering: Building Applications with Foundation ModelsAI Engineering: Building Applications with Foundation Models (2025)
by Huyen, Chip
Data Structures and Algorithms in Java: A Project-Based ApproachData Structures and Algorithms in Java: A Project-Based Approach (2024)
by Myers, Dan S.
Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition)Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) (2024)
by Kumar, Abhishek
Graph Algorithms for Data Science: With examples in Neo4jGraph Algorithms for Data Science: With examples in Neo4j (2024)
by Bratanic, Tomaž
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the CloudArchitecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023)
by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat
Machine Learning System Design InterviewMachine Learning System Design Interview (2023)
by Aminian, Ali, Xu, Alex
Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved AlgorithmicallyApplied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically (2022)
by Prosise, Jeff
Graph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4jGraph Data Processing with Cypher: A practical guide to building graph traversal queries using the Cypher syntax on Neo4j (2022)
by Anthapu, Ravindranatha
Designing Machine Learning Systems: An Iterative Process for Production-Ready ApplicationsDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022)
by Huyen, Chip
Machine Learning Engineering in ActionMachine Learning Engineering in Action (2022)
by Wilson, Ben
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOpsMachine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020)
by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael
AI and Machine Learning for Coders: A Programmer's Guide to Artificial IntelligenceAI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020)
by Moroney, Laurence
Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterpriseHands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise (2020)
by Scifo, Estelle
Graph Algorithms: Practical Examples in Apache Spark and Neo4jGraph Algorithms: Practical Examples in Apache Spark and Neo4j (2019)
by Needham, Mark, Hodler, Amy E.
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd EditionMachine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018)
by Bhatia, AshishSingh, Kaluza, Bostjan
Beginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free mannerBeginning Java Data Structures and Algorithms: Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner (2018)
by Cutajar, James
Learning Neo4j 3.x - Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4jLearning Neo4j 3.x - Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4j (2017)
by Baton, Jerome, Bruggen, Rik Van
Think Data Structures: Algorithms and Information Retrieval in JavaThink Data Structures: Algorithms and Information Retrieval in Java (2017)
by Downey, Allen
Beginning Neo4jBeginning Neo4j (2015)
by Kemper, Chris
Neo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4jNeo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4j (2015)
by Lal, Mahesh
Neo4j CookbookNeo4j Cookbook (2015)
by Goel, Ankur
Neo4j High PerformanceNeo4j High Performance (2015)
by Raj, Sonal
Neo4j EssentialsNeo4j Essentials (2015)
by Gupta, Sumit
Practical Neo4jPractical Neo4j (2014)
by Jordan, Gregory
Neo4j in ActionNeo4j in Action (2014)
by Vukotic, Aleksa, Watt, Nicki, Abedrabbo, Tareq, Fox, Dominic, Partner, Jonas
Learning Neo4jLearning Neo4j (2014)
by Bruggen, Rik Van
Data Structures and Algorithms in JavaData Structures and Algorithms in Java (2014)
by Goodrich, Michael T., Tamassia, Roberto, Goldwasser, Michael H.
Data Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic PuzzlesData Structures and Algorithms Made Easy in Java: Data Structure and Algorithmic Puzzles (2013)
by Karumanchi, Narasimha
Algorithms (4th Edition)Algorithms (4th Edition) (2011)
by Sedgewick, Robert, Wayne, Kevin
Data Structures and Algorithms in JavaData Structures and Algorithms in Java (2002)
by Lafore, Robert