Machine Learning - Neo4j Graph Data Science

Pipeline Catalog

Table 1. List of all pipeline catalog operations in the GDS library.
Description	Operation
Check if a pipeline exists	`gds.pipeline.exists` Procedure
Remove a pipeline from memory	`gds.pipeline.drop` Procedure
List pipelines	`gds.pipeline.list` Procedure

Model Catalog

Table 2. List of all model catalog operations in the GDS library.
Description	Operation
List models	`gds.model.list` Procedure
Check if a model exists	`gds.model.exists` Procedure
Drop a model from memory	`gds.model.drop` Procedure
Store a model	`gds.model.store` Procedure Enterprise Edition
Load a stored model	`gds.model.load` Procedure Enterprise Edition
Delete a stored model	`gds.model.delete` Procedure Enterprise Edition
Publish a model	`gds.model.publish` Procedure Enterprise Edition

Pipelines

Beta tier

Table 3. List of all beta machine learning pipelines operations in the GDS library.
Algorithm name	Operation
Link Prediction Pipeline	`gds.beta.pipeline.linkPrediction.create` Procedure
	`gds.beta.pipeline.linkPrediction.addNodeProperty` Procedure
	`gds.beta.pipeline.linkPrediction.addFeature` Procedure
	`gds.beta.pipeline.linkPrediction.addLogisticRegression` Procedure
	`gds.beta.pipeline.linkPrediction.addRandomForest` Procedure
	`gds.beta.pipeline.linkPrediction.configureSplit` Procedure
	`gds.beta.pipeline.linkPrediction.train` Procedure
	`gds.beta.pipeline.linkPrediction.train.estimate` Procedure
	`gds.beta.pipeline.linkPrediction.predict.mutate` Procedure
	`gds.beta.pipeline.linkPrediction.predict.mutate.estimate` Procedure
	`gds.beta.pipeline.linkPrediction.predict.stream` Procedure
	`gds.beta.pipeline.linkPrediction.predict.stream.estimate` Procedure
Node Classification Pipeline	`gds.beta.pipeline.nodeClassification.create` Procedure
	`gds.beta.pipeline.nodeClassification.addNodeProperty` Procedure
	`gds.beta.pipeline.nodeClassification.selectFeatures` Procedure
	`gds.beta.pipeline.nodeClassification.addLogisticRegression` Procedure
	`gds.beta.pipeline.nodeClassification.addRandomForest` Procedure
	`gds.beta.pipeline.nodeClassification.configureSplit` Procedure
	`gds.beta.pipeline.nodeClassification.train` Procedure
	`gds.beta.pipeline.nodeClassification.train.estimate` Procedure
	`gds.beta.pipeline.nodeClassification.predict.mutate` Procedure
	`gds.beta.pipeline.nodeClassification.predict.mutate.estimate` Procedure
	`gds.beta.pipeline.nodeClassification.predict.stream` Procedure
	`gds.beta.pipeline.nodeClassification.predict.stream.estimate` Procedure
	`gds.beta.pipeline.nodeClassification.predict.write` Procedure
	`gds.beta.pipeline.nodeClassification.predict.write.estimate` Procedure

Alpha tier

Table 4. List of all alpha machine learning pipelines operations in the GDS library.
Algorithm name	Operation
Link Prediction Pipeline	`gds.alpha.pipeline.linkPrediction.addMLP` Procedure
Link Prediction Pipeline	`gds.alpha.pipeline.linkPrediction.configureAutoTuning` Procedure
Node Classification Pipeline	`gds.alpha.pipeline.nodeClassification.addMLP` Procedure
Node Classification Pipeline	`gds.alpha.pipeline.nodeClassification.configureAutoTuning` Procedure
Node Regression Pipeline	`gds.alpha.pipeline.nodeRegression.create` Procedure
	`gds.alpha.pipeline.nodeRegression.addNodeProperty` Procedure
	`gds.alpha.pipeline.nodeRegression.selectFeatures` Procedure
	`gds.alpha.pipeline.nodeRegression.configureAutoTuning` Procedure
	`gds.alpha.pipeline.nodeRegression.configureSplit` Procedure
	`gds.alpha.pipeline.nodeRegression.addLinearRegression` Procedure
	`gds.alpha.pipeline.nodeRegression.addRandomForest` Procedure
	`gds.alpha.pipeline.nodeRegression.train` Procedure
	`gds.alpha.pipeline.nodeRegression.predict.stream` Procedure
	`gds.alpha.pipeline.nodeRegression.predict.mutate` Procedure

Node embeddings

Production-quality tier

Table 5. List of all production-quality node embedding algorithms in the GDS library.
Algorithm name	Operation
Fast Random Projection	`gds.fastRP.mutate` Procedure
	`gds.fastRP.mutate.estimate` Procedure
	`gds.fastRP.stats` Procedure
	`gds.fastRP.stats.estimate` Procedure
	`gds.fastRP.stream` Procedure
	`gds.fastRP.stream.estimate` Procedure
	`gds.fastRP.write` Procedure
	`gds.fastRP.write.estimate` Procedure

Beta tier

Table 6. List of all beta node embedding algorithms in the GDS library.
Algorithm name	Operation
GraphSAGE	`gds.beta.graphSage.stream` Procedure
	`gds.beta.graphSage.stream.estimate` Procedure
	`gds.beta.graphSage.mutate` Procedure
	`gds.beta.graphSage.mutate.estimate` Procedure
	`gds.beta.graphSage.write` Procedure
	`gds.beta.graphSage.write.estimate` Procedure
	`gds.beta.graphSage.train` Procedure
	`gds.beta.graphSage.train.estimate` Procedure
HashGNN	`gds.hashgnn.mutate` Procedure
	`gds.hashgnn.mutate.estimate` Procedure
	`gds.hashgnn.stream` Procedure
	`gds.hashgnn.stream.estimate` Procedure
Node2Vec	`gds.node2vec.mutate` Procedure
	`gds.node2vec.mutate.estimate` Procedure
	`gds.node2vec.stream` Procedure
	`gds.node2vec.stream.estimate` Procedure
	`gds.node2vec.write` Procedure
	`gds.node2vec.write.estimate` Procedure