Tomaz Bratanic

Coreference perfomance issue

1

I have the following example: ``` Elon Musk was born in the South African republic in the year of 1971. His first company was Zip2, which he later sold. ```...

k-shortest path array index out of bound

2

This error seems to come up when using nodeQuery and/or relationshipQuery param. To reproduce: ``` LOAD CSV WITH HEADERS FROM "https://raw.githubusercontent.com/geoiq/acetate/master/places/Europe-z4-z6.txt" as row FIELDTERMINATOR "\t" MERGE (city:City{name: row.name}) ON CREATE...

I used to think that the max cost parameter stops when the sum of all relationship weights in the traversal hits the max cost value, but I found out that...

MaxDepth param for Breadth-first search

1

It looks like the DFS algorithm has the maxDepth parameter that includes the max value while the BFS algorithm does not include it. This can be confusing to an end...

Change the default value of similarityCutoff parameter

9

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

Balanced triads on a large graph

2

I ran balanced triads on snap signed network: https://snap.stanford.edu/data/soc-sign-epinions.html I imported the graph as undirected even though original is directed: ``` USING PERIODIC COMMIT 10000 LOAD CSV FROM "file:///soc-sign-epinions.txt" as...

This is an option how to allow users to use only topK parameter as for example: `CALL algo.similarity.cosine.stream(data, {topK:1})` Idea came from https://github.com/neo4j-contrib/neo4j-graph-algorithms/issues/729 and https://github.com/neo4j-contrib/neo4j-graph-algorithms/pull/730 and this PR is a...

Create data: ``` MERGE (french:Cuisine {name:'French'}) MERGE (italian:Cuisine {name:'Italian'}) MERGE (indian:Cuisine {name:'Indian'}) MERGE (lebanese:Cuisine {name:'Lebanese'}) MERGE (portuguese:Cuisine {name:'Portuguese'}) MERGE (zhen:Person {name: "Zhen"}) MERGE (praveena:Person {name: "Praveena"}) MERGE (michael:Person {name: "Michael"})...

I wanted to crossrefence to see if `maxDepth:1` return 1.0 ego network or 1.5 and so on Create sample graph ``` CREATE (alice:Person{id:"Alice"}), (michael:Person{id:"Michael"}), (karin:Person{id:"Karin"}), (chris:Person{id:"Chris"}), (will:Person{id:"Will"}), (mark:Person{id:"Mark"}), (a:Person{id:"A"}), (b:Person{id:"B"}),...

Sampled betweenness returns 4x higher centralities than original

2

I ran both original betweenness and sampled betweenness with no maxDepth and probability:1, which should in theory return same results on a few graphs but noticed a consistent ratio of...