The Hubs & Authorities in Transaction Network — Powered by SANSA and Graph Analysis
Alethio’s data scientists dig into the Ethereum blockchain to identify the major players across the transaction network. Leveraging the…
GraphNews
JanusGraph & Python
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges…
What Is the Semantic Web and Why Should Enterprise Publishers Care?
The Semantic Web is the knowledge graph formed by combining connected, Linked Data with intelligent content to facilitate machine…
Amping Up Data Access with an Ontology
Data Lakes: sometimes we love them, sometimes we hate them. So how do we love them more and hate them less? One way is to use a graph of…
How to Explain Index-free Adjacency to Your Manager
Index-free adjacency is the most important concept we need to understand when learning about native graph databases. Native graphs have…
Connecting Apache Kafka to Azure CosmosDB — Part I
Setting the Scene
Analyzing and Improving the performance Azure Cosmos DB Gremlin queries
Gremlin is one of the most popular query languages for exploring and analyzing data modeled as property graphs. There are many…
The curious case of Pagination for Gremlin queries
Why TinkerPop graph databases do not support pagination? What can we do as application developers? What else can we achieve as a…
GME— Graph Mapping Engine
Version 0.1 — like skyscanner but for code
Building Semantic Data Catalogs
I had a recent conversation with a senior data manager for a large corporate enterprise who is in the process of setting a long term data…
Semantic Modeling & The Power of Exemplars
I was told the other day by an ontologist acquaintance of mine that they only use Protege or Top Braid Composer for their modeling work…
Breaking The CAPTCHA: An Application of Enhancing Machine Learning with Large-Scale Graph
Introduction
Graphical Interpretation of data using ArangoDB
A number of industries and laboratories still rely upon relational database management systems for handling their data. But usually, raw data that they encounter is not structured. It is highly…
Querying DBpedia with GraphQL
Cause getting your JSON-LD should be simple
Robust compute for RDF queries
Managing fault tolerance in Elixir with supervision trees
Scaling Knowledge Access and Retrieval at Airbnb
Introducing our Knowledge Graph for encoding relationships and surfacing relevant information
Introducing Gremlex
An open source Gremlin server driver for Elixir
A practical review of non-RDF to RDF converters
I believe, converting bunch of CSV, JSON or XML files to an RDF format is a very popular task for people dealing with Semantic Web, Linked…
Road Trip Through Database Country
You have options in the modern database landscape. Let’s go touring.
Causaly, Machine Reading and the Future of Biomedicine
A scholar walking into the Library of Alexandria in 200 BC –the ultimate repository of human knowledge at the time– would search for a…
Neo4j Graph Algorithms Release — Random Walk and Personalized PageRank
Earlier this week we released a new version of the Neo4j Graph Algorithms library, almost a year to the day since the library was launched…
How Do You Know If a Graph Database Solves the Problem?
One of the greatest questions to consistently badger a developer is “what technology should I use?”. The analysis from days of thought and…
Meet the Graph Gallery
Graph Examples on your Desktop
An introduction to using Keras with Neo4j
We demonstrate connecting a Neo4j graph database to Keras. We build a neural network achieving 100% test accuracy on a simple review…
Attention is not quite all you need
We’ve developed a novel and robust neural network solution for detecting if an item is present in a list. We’ll outline the research and…
Graphs and neural networks: Reading node properties
We often have questions like “What time is the meeting with Susan?” or “When does Walmart open?”. These questions ask for a property of an…
Incorporating element-wise multiplication can out-perform dense layers in neural networks
We ran 1,300 different training experiments to try a large range of different neural network architectures on basic arithmetic, logic and…
Review prediction with Neo4j and TensorFlow
We show how to create an embedding to predict product reviews, using the TensorFlow machine learning framework and the Neo4j graph…
Towards building the next generation database query engine
What if yesterday’s database engines are not capable of solving today’s problems?
Semantic user management
How we built access/permissions into our data