This repository is an OpenRank Neo4j plugin implementation with Neo4j GDS library.
You may use Gradle 8 to build and test the project.
Run gradle test to run unit tests and ./gradlew clean build to build the project, you will find the openrank-neo4j-gds.jar after build under ./build/libs.
This plugin uses Neo4j Community Edition 5.6.0 and Neo4j GDS(Graph Data Science) 2.4.2, feel free to build your own plugin to change the versions under build.gradle.
This plugin uses Pregel framework provided by GDS so it only contains the computation part of the OpenRank, you can run the algorithm after build the in-memory graph like this:
CALL xlab.pregel.openrank.write('graphName',{initValueProperty:'initValue',retentionFactorProperty:'retentionFactor',relationshipWeightProperty:'weight',tolerance:0.001,maxIterations:40,suffix:'_suffix'});
graphName: the in-memory graph name to run OpenRank.intiValueProperty: the init value property on nodes to indicate the initial value of each node.retentionFactorProperty: just like dumping factor in PageRank, retention factor is used to indicate how much a node's initial value used in the algorithm.relationshipWeightProperty: the property to indicate the weight of relationships in the graph.tolerance: the percision of the algorithm.maxIterations: the max iteration limit in case the algorithm not converge.suffix: used in write mode to append after the open_rank property, like timestamp.This repository is licensed under the GNU Public License version 3.0.