Graph Data Science 2.0.3
GDS 2.0.3 is compatible with Neo4j 4.3 and 4.4 but not Neo4j 3.5.x, 4.0, 4.1, or 4.2. For a 3.5 compatible release, please see GDS 1.1.7. For a 4.0 compatible release, please see GDS 1.6.5. For a 4.1 or 4.2 compatible release, please see GDS 1.8.6
Bug Fixes
gds.beta.pipeline.[nodeClassification|linkPrediction].addLogisticRegression
and gds.alpha.pipeline.[nodeClassification|linkPrediction].addRandomForest
. This field is not supposed to be set by the user.gds.beta.graphSage.train
when using activationFunction: 'RELU'
, where the training did not compute the correct gradient.gds.beta.graphSage.train
when an invalid user input would result in an No more running tasks exception.
gds.beta.pipeline.linkPrediction.train
where incorrect AUCPR metrics could be returned when using RandomForest.