Operational Database Management Systems
By Mark Needham at Neo4j Giannatou wrote a report Graph data mining with Neo4j (PDF) in which she shows how to import a dataset containing California’s road networks and points of interest and then write Cypher queries against...
The BloodHound project created by Andrew Robbins, Rohan Vazarkar, and Will Schroeder. BloodHound is an application which uses graph theory to reveal the hidden and often unintended relationships within an Active Directory environment. Attackers can use BloodHound to easily...
Timesketch is an open source tool for collaborative forensic timeline analysis. Using sketches you and your collaborators can easily organize your timelines and analyze them all at the same time. Add meaning to your...
Łukasz Szeremeta created neo4j-sparql-extension-yars – a Neo4j unmanaged extension that provides RDF storage and SPARQL 1.1 query features. Distributed under the GNU General Public License version 3 license. Link to GitHub
Graph NLU – a project he built to understand natural language dialogue in an interactive setting by representing memory of previous dialogue states using a persistent graph You can also find the code in...
This project contains a Node.js starter template for a Neo4j movies dataset. http://neo4jmovies.herokuapp.com This Neo4j-based node / react web app displays movie and person data in a manner similar to IMDB. It is designed to...
cognoma : BY Daniel Himmelstein, Postdoctoral Fellow at University of Pennsylvania, in collaboration with the DataPhilly and Code for Philly meetups. This project puts machine learning in the hands of cancer biologists. BUILD A CLASSIFICATION ALOGRITHM...
Daniel Himmelstein is the creator of Hetionet – an integrative network of biology, disease, and pharmacology. ‘hetnet’ is actually a word coined by Daniel to describe networks with many types of relationships Hetionet is a hetnet...
LDBC develops all its benchmarks in open source and invites the developer community to participate. Either by downloading, compiling and using the benchmark data generators and drivers, or by reporting on results and issues in...
The Graphalytics benchmark is an industrial-grade benchmark for graph analysis platforms such as Giraph. It consists of six core algorithms, standard datasets, synthetic dataset generators, and reference outputs, enabling the objective comparison of graph analysis platforms. The design of the benchmark process...