neo4j-graph-algorithms
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neo4j-contrib
Efficient Graph Algorithms for Neo4j
``` CALL algo.unionFind(null, 'OBSERVED_WITH', {write:true, graph:'huge', partitionProperty:"community",concurrency:3}) YIELD nodes, setCount, loadMillis, computeMillis, writeMillis,p1, p5,p10,p25,p50,p75,p90,p95,p100; Failed to invoke procedure `algo.unionFind`: Caused by: com.carrotsearch.hppc.BufferAllocationException: Maximum array size exceeded for this load factor...
when I use `CALL algo.unionFind.stream() YIELD nodeId,setId RETURN count(setId)` to get the count of community or `CALL algo.unionFind.stream() YIELD nodeId,setId RETURN setId,count(*) as size_of_component ORDER BY size_of_component DESC LIMIT 20`...
Graph algorithms doesn't support this feature directly, but can it be constructed out of the primitives?
The results of the below 2 queries should be the same as the only difference is the type, i.e. heavy and cypher: 1) CALL algo.betweenness.stream( '城市', '铁路连接|公路连接', {direction:'both'} ) YIELD...
When running any algo on a projection we have to supply 1. a list of node ids 1. a list of source id, end id and weight for the relationships...
For example the sample on the neo4j official website:  https://neo4j.com/docs/graph-algorithms/current/algorithms/page-rank/ After the query `CALL algo.pageRank('Page', 'LINKS', {iterations:20, dampingFactor:0.85, write: true,writeProperty:"pagerank"}) YIELD nodes, iterations, loadMillis, computeMillis, writeMillis, dampingFactor, write, writeProperty`...
Not sure if there is a deeper reason for `similarityCutoff` to have to be greater than 0.0 to allow writeback. Fixes https://github.com/neo4j-contrib/neo4j-graph-algorithms/issues/729
I am working to implement the [LDBC Graphalytics](http://graphalytics.org/) workload using the Graph algorithms library. This requires implementing the directed variant of the local clustering coefficient (LCC). The [specification](https://ldbc.github.io/ldbc_graphalytics_docs/graphalytics_spec.pdf) defines the...
