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Neo4j Graph Data Science :: Procedures :: Machine Learning
/*
* Copyright (c) "Neo4j"
* Neo4j Sweden AB [http://neo4j.com]
*
* This file is part of Neo4j.
*
* Neo4j is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
package org.neo4j.gds.ml.kge;
import org.neo4j.gds.MutateComputationResultConsumer;
import org.neo4j.gds.Orientation;
import org.neo4j.gds.RelationshipType;
import org.neo4j.gds.ResultBuilderFunction;
import org.neo4j.gds.algorithms.machinelearning.KGEPredictMutateConfig;
import org.neo4j.gds.algorithms.machinelearning.KGEPredictResult;
import org.neo4j.gds.algorithms.machinelearning.TopKMapComputer;
import org.neo4j.gds.core.Aggregation;
import org.neo4j.gds.core.concurrency.DefaultPool;
import org.neo4j.gds.core.concurrency.ParallelUtil;
import org.neo4j.gds.core.loading.construction.GraphFactory;
import org.neo4j.gds.executor.ComputationResult;
import org.neo4j.gds.executor.ExecutionContext;
import org.neo4j.gds.procedures.algorithms.machinelearning.KGEMutateResult;
import org.neo4j.gds.result.AbstractResultBuilder;
import org.neo4j.gds.similarity.nodesim.TopKMap;
import org.neo4j.gds.termination.TerminationFlag;
import java.util.stream.Stream;
class KGEMutateResultConsumer extends MutateComputationResultConsumer {
KGEMutateResultConsumer(ResultBuilderFunction resultBuilderFunction) {
super(resultBuilderFunction);
}
@Override
protected void updateGraphStore(
AbstractResultBuilder> resultBuilder,
ComputationResult computationResult,
ExecutionContext executionContext
) {
var graphStore = computationResult.graphStore();
var graph = graphStore.getGraph();
var config = computationResult.config();
var concurrency = config.concurrency();
var mutateRelationshipType = RelationshipType.of(config.mutateRelationshipType());
var relationshipsBuilder = GraphFactory.initRelationshipsBuilder()
.aggregation(Aggregation.SINGLE)
.nodes(graph)
.relationshipType(mutateRelationshipType)
.orientation(Orientation.NATURAL)
.addPropertyConfig(GraphFactory.PropertyConfig.builder().propertyKey(config.mutateProperty()).build())
.concurrency(concurrency)
.executorService(DefaultPool.INSTANCE)
.build();
var similarityResultStream = computationResult.result()
.map(KGEPredictResult::topKMap)
.map(TopKMap::stream)
.orElseGet(Stream::empty);
ParallelUtil.parallelStreamConsume(
similarityResultStream,
concurrency,
TerminationFlag.wrap(executionContext.terminationMonitor()),
stream -> stream.forEach(similarityResult -> {
relationshipsBuilder.addFromInternal(
graph.toRootNodeId(similarityResult.sourceNodeId()),
graph.toRootNodeId(similarityResult.targetNodeId()),
similarityResult.property()
);
}));
var relationships = relationshipsBuilder.build();
computationResult
.graphStore()
.addRelationshipType(relationships);
resultBuilder.withRelationshipsWritten(relationships.topology().elementCount());
}
}