Visual Graph Query

Installation

The installation is meant to be used on a modern Ubuntu system.

Note: We recommend the use of a python virtual env manager like conda or miniconda.

git clone https://gitlab.inria.fr/apister/visual-graph-query.git
cd visual-graph-query
conda env create -f env.yml
conda activate VisualQueries

Install Neo4J

See https://debian.neo4j.com/ for installing neo4j on an Ubuntu system. To summarize:

wget -O - https://debian.neo4j.com/neotechnology.gpg.key | sudo apt-key add -
echo 'deb https://debian.neo4j.com stable latest' | sudo tee /etc/apt/sources.list.d/neo4j.list
sudo apt-get update

Then, install a password:

bin/cypher-shell -d system
ALTER USER neo4j SET PASSWORD 'neo4j`;
:exit

Then, install the apoc plugin by moving its jar file from the labs directory to the plugings directory:

sudo mv /var/lib/neo4j/labs/apoc-4* /var/lib/neo4j/plugins

Add the following lines to /etc/neo4j/neo4j.conf:

dbms.security.procedures.unrestricted=apoc.*
apoc.export.file.enabled=true
apoc.import.file.enabled=true
apoc.trigger.enabled=true
apoc.ttl.enabled=true
apoc.uuid.enabled=true

Restart the neo4j server with sudo neo4j restart. Beware, after installing neo4j, the server might not restart properly, you will have to kill it manually with sudo kill <proc> with the right process number, and then restart it with sudo start neo4j

Preparing the dataset

Execute the pipeline in the dataLoader directory:

cd dataLoader
python pipeline.py

This should execute without error. The database is now loaded in neo4j with the layout computed.

Starting the backend