valefranz

import tensorflow as tf
import numpy as np
import time

N=10000
K=4
MAX_ITERS = 1000

start = time.time()

valefranz

This example can be run here: http://graphgist.neo4j.com/#!/gists/b6a3833a7ec042f77e31 If you use the code or images, please cite: Valentina Franzoni, https://gist.github.com/valefranz/b6a3833a7ec042f77e31

First step: create some authors

//CREATE authors, with name as a property

valefranz

This example uses open data about immigration flows (October 2015) from the UNHCR Population Statistics Database, with a little preprocesssing.

This example can be run here: http://graphgist.neo4j.com/#!/gists/edfbfa639263106c6b61
If you use the code or images, please cite: Valentina Franzoni, https://gist.github.com/valefranz/edfbfa639263106c6b61

//data from http://popstats.unhcr.org/ 14 october 2015
//Country,Origin,Year,Month,Value
[source,cypher]
----
LOAD CSV WITH HEADERS FROM 'https://gist.githubusercontent.com/valefranz/edfbfa639263106c6b61/raw/4935abcdecdf8b38f26a4e75ef9813d4e97053d5/immigration2015.csv' as line FIELDTERMINATOR ','

valefranz

This example can be run here: http://graphgist.neo4j.com/#!/gists/7e5e4f70106c8b667ca6 If you use the code or images, please cite: Valentina Franzoni, https://gist.github.com/valefranz/7e5e4f70106c8b667ca6

CREATE
(s:Agent{Name:"Scissors"}),
(r:Agent{Name:"Rock"}),