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Neo4j Graph Data Science :: Algorithms
/*
* 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.louvain;
import org.neo4j.gds.mem.MemoryEstimateDefinition;
import org.neo4j.gds.ImmutableRelationshipProjections;
import org.neo4j.gds.NodeProjections;
import org.neo4j.gds.Orientation;
import org.neo4j.gds.RelationshipProjection;
import org.neo4j.gds.RelationshipProjections;
import org.neo4j.gds.RelationshipType;
import org.neo4j.gds.api.CSRGraphStoreFactory;
import org.neo4j.gds.api.DefaultValue;
import org.neo4j.gds.collections.ha.HugeLongArray;
import org.neo4j.gds.core.Aggregation;
import org.neo4j.gds.core.GraphDimensions;
import org.neo4j.gds.core.ImmutableGraphDimensions;
import org.neo4j.gds.mem.MemoryEstimation;
import org.neo4j.gds.mem.MemoryEstimations;
import org.neo4j.gds.mem.MemoryRange;
import org.neo4j.gds.modularityoptimization.ModularityOptimizationMemoryEstimateDefinition;
public class LouvainMemoryEstimateDefinition implements MemoryEstimateDefinition {
private final LouvainMemoryEstimationParameters parameters;
public LouvainMemoryEstimateDefinition(LouvainMemoryEstimationParameters parameters) {
this.parameters = parameters;
}
@Override
public MemoryEstimation memoryEstimation() {
int maxLevels = parameters.maxLevels();
return MemoryEstimations.builder(Louvain.class)
.add(
"modularityOptimization()",
new ModularityOptimizationMemoryEstimateDefinition().memoryEstimation()
)
.rangePerGraphDimension("subGraph", (graphDimensions, concurrency) -> {
ImmutableGraphDimensions.Builder dimensionsBuilder = ImmutableGraphDimensions
.builder()
.from(graphDimensions);
GraphDimensions sparseDimensions = dimensionsBuilder.build();
// Louvain creates a new graph every iteration, this graph has one relationship property
RelationshipProjections relationshipProjections = ImmutableRelationshipProjections.builder()
.putProjection(
RelationshipType.of("AGGREGATE"),
RelationshipProjection.builder()
.type("AGGREGATE")
.orientation(Orientation.UNDIRECTED)
.aggregation(Aggregation.SUM)
.addProperty("prop", "prop", DefaultValue.of(0.0))
.build()
)
.build();
long maxGraphSize = CSRGraphStoreFactory
.getMemoryEstimation(NodeProjections.all(), relationshipProjections, false)
.estimate(sparseDimensions, concurrency)
.memoryUsage()
.max;
return MemoryRange.of(1L, maxGraphSize); // rough estimate of graph size
})
.rangePerNode("dendrograms", (nodeCount) -> MemoryRange.of(
HugeLongArray.memoryEstimation(nodeCount),
HugeLongArray.memoryEstimation(nodeCount) * (parameters.includeIntermediateCommunities()
? maxLevels : Math.min(2, maxLevels))
))
.build();
}
}
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