graph-data-science | Source code for the Neo4j Graph Data Science library | Graph Database library

 by   neo4j Java Version: 2.4.0-alpha06 License: Non-SPDX

kandi X-RAY | graph-data-science Summary

kandi X-RAY | graph-data-science Summary

graph-data-science is a Java library typically used in Database, Graph Database, Neo4j applications. graph-data-science has no bugs, it has no vulnerabilities, it has build file available and it has high support. However graph-data-science has a Non-SPDX License. You can download it from GitHub, Maven.

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. The library consists of a number of graph algorithms, exposed as procedures and executed in Neo4j. The Neo4j Graph Data Science library is the successor of the Neo4j Graph Algorithms library.
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              graph-data-science has a highly active ecosystem.
              It has 503 star(s) with 138 fork(s). There are 69 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 22 open issues and 212 have been closed. On average issues are closed in 88 days. There are 1 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of graph-data-science is 2.4.0-alpha06

            kandi-Quality Quality

              graph-data-science has 0 bugs and 0 code smells.

            kandi-Security Security

              graph-data-science has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              graph-data-science code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              graph-data-science has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              graph-data-science releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              graph-data-science saves you 128118 person hours of effort in developing the same functionality from scratch.
              It has 203922 lines of code, 16764 functions and 2532 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed graph-data-science and discovered the below as its top functions. This is intended to give you an instant insight into graph-data-science implemented functionality, and help decide if they suit your requirements.
            • Estimate the embeddings estimation .
            • Filters the nodes based on the given expression .
            • Adds a config getter to the constructor .
            • Intersects a set of neighbors
            • Creates a new relationships builder .
            • Imports properties from the index .
            • This method can be used to write a graph write operation .
            • Validate member .
            • Filters a list of relationships that are marked to be processed .
            • Adds a batch of rels to the graph .
            Get all kandi verified functions for this library.

            graph-data-science Key Features

            No Key Features are available at this moment for graph-data-science.

            graph-data-science Examples and Code Snippets

            No Code Snippets are available at this moment for graph-data-science.

            Community Discussions

            QUESTION

            Why is Neo4j not recognizing the degree centrality query?
            Asked 2021-Dec-01 at 17:42

            For some reason Neo4j is not recognizing degree centrality on a projection in GDS. I run this query:

            ...

            ANSWER

            Answered 2021-Dec-01 at 17:42

            What version of GDS do you have installed? The signature of the procedure might not match the documentation you are using. Run this query to check.

            Source https://stackoverflow.com/questions/70176452

            QUESTION

            Embedded Neo4j with Graph Data Science - BFS Procedure appears to be missing
            Asked 2021-Jun-04 at 20:45

            The documentation here https://neo4j.com/docs/graph-data-science/1.1/algorithms/bfs/#algorithms-bfs describes a callable "gds.alpha.bfs.stream".

            In order to call that, to the best of my knowledge, it needs to be registered with the embedded DB. Something along the lines of

            ...

            ANSWER

            Answered 2021-Jun-04 at 20:45

            The required procedure is conveniently called "TraverseProc" and allows use of both BFS and DFS.

            The file doesn't include the name of the callable, either. Discovered it through search of all my neo4j dependencies with

            Source https://stackoverflow.com/questions/67843656

            QUESTION

            Is the neo4j documentation inconsistent regarding embedding parameter?
            Asked 2021-May-12 at 13:31

            In this tutorial, it has the following example: https://neo4j.com/developer/graph-data-science/applied-graph-embeddings/ where 'embeddingSize' is used for specify the vector length of the embedding.

            ...

            ANSWER

            Answered 2021-May-12 at 13:31

            Graph embeddings were introduced in version 1.3 and the tutorial you found is for that version and it uses embeddingSize. Then 2nd link you found is the recent documentation for node2Vec and it is meant for >= 1.4 version. Look at the header of your 2nd link and you will see below

            Source https://stackoverflow.com/questions/67497553

            QUESTION

            java.lang.IllegalArgumentException: Unsupported type [TEXT] of value String
            Asked 2021-Feb-26 at 19:17

            I have a simple graph that looks like this (a couple of persons that gave reviews to movies)

            ...

            ANSWER

            Answered 2021-Feb-26 at 19:17

            The problem is that the "rating" property is stored as a string. What you can do is cast it first as a float and then run the exact same GDS query.

            So, first casting the rating property to a float:

            Source https://stackoverflow.com/questions/66357364

            QUESTION

            NodeProperties in gds.alpha.shortestPath.stream
            Asked 2021-Jan-09 at 20:41

            The Neo4j Data Graph Science library has an Shortest Path algorithm (https://neo4j.com/docs/graph-data-science/current/alpha-algorithms/shortest-path/). The following sequence is the example algorithm which works for my project:

            ...

            ANSWER

            Answered 2021-Jan-09 at 20:41

            You will need to use cypher projection to filter the subgraph.

            Source https://stackoverflow.com/questions/65633581

            QUESTION

            Neo4j persistent named graph
            Asked 2020-Nov-13 at 19:06

            I'm coming from the RDF world where named graphs are persistent and can be used like a collection of triples. Moreover you can query against one single named graph or over the whole triplestore. I'm looking for the same features (or a workaround to achive them) in Neo4j.

            Neo4j's Graph Catalog is well documented. As I understood, named graphs in Neo4j are stored entirely in-memory (so lost after a restart) with a subset of nodes you define for analytic purpose.

            Is there a way to create persistents named graphs in Neo4j? A graph that is stored in the disk with the data and that permits to fast access to a subset of nodes (nodes can be added or removed from the named graph).

            ...

            ANSWER

            Answered 2020-Nov-13 at 19:06

            You could give every node in the same "named graph" the same label. Since a node can have multiple labels, this does not prevent you from using other labels for other purposes as well.

            Source https://stackoverflow.com/questions/64826013

            QUESTION

            Find all possible paths between two nodes on graph using a graph database
            Asked 2020-Sep-27 at 13:31

            I have a collection of nodes that make up a DAG (directed acyclic graph) with no loops guaranteed. I want to store the nodes in a database and have the database execute a search that shows me all paths between two nodes.

            For example, you could think that I have the git history of a complex project.

            Each node can be described with a JSON object that has:

            ...

            ANSWER

            Answered 2020-Sep-27 at 11:43

            The Graph Data Science library pathfinding algorithms are designed to find the shortest weighted paths and use algorithms similar to Dijkstra to find them. In your case, it seems that you are dealing with a directed unweighted graph and you could use the native cypher allShortestPath procedure:

            An example would be:

            Source https://stackoverflow.com/questions/64083625

            QUESTION

            Neo4j - Graph Data Science library - How to cypher-query against a named graph in Graph Catalog?
            Asked 2020-Jun-04 at 06:16

            Creating a named graph from the main Neo4j Graph is documented. Beside, one also knows how to list, drop, check if a named graph already exists, e.g. CALL gds.graph.exists('my-store-graph') YIELD exists;

            However, I wonder if there is any method for cypher-query against the just created named graph?

            One workaround is to push this named graph into an offline/empty Neo4j Graph, i.e. CALL gds.beta.graph.export('my-graph', { dbName: 'mydatabase' }). However, this method is less convenient because we often want to check if the named graph is projected correcly before applying, e.g. PageRank on it. And the projection can be a trial-and-error cycle.

            ...

            ANSWER

            Answered 2020-Jun-04 at 06:16

            There is currently no other way of querying the named graph other than the workaround you already found.

            However, there are additional functions, e.g. gds.util.nodeProperty that allow you to access a node property in the named graph without writing it back to Neo4j. An example for querying a score property could look like this:

            Source https://stackoverflow.com/questions/62185075

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install graph-data-science

            You can download it from GitHub, Maven.
            You can use graph-data-science like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the graph-data-science component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            Please report any bugs, concerns, or other questions as GitHub issues to this repository. For more information see the contribution guidelines for this project.
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