Importing Bitcoin transactions via Python Websocket into Neo4j and monitoring them with a NeoDash dashboard — Cryptocurrencies have become more and more integrated into our daily life. Many cryptocurrencies like Bitcoin and Ethereum are decentralized networks based on blockchain technology. They have a wide array of use-cases and have been implemented by various companies and governments. One remarkable attribute of many cryptocurrencies is that all the…

Construct a biomedical knowledge graph by utilizing NLP techniques to extract relationships from biomedical articles — The biomedical domain is a prime example of finding connections and relationships between various entities like genes, drugs, diseases, and more. It is virtually impossible for any doctor to keep in touch with all the latest published research. For example, I queried PubMed Central and found 100 thousand articles published…

Utilize UK Gazette API capabilities to construct a knowledge graph and analyze it in Neo4j — I love constructing knowledge graphs from various sources. I’ve wanted to create a government knowledge graph for some time now but was struggling to find any data that is easily accessible and doesn’t require me to spend weeks developing a data pipeline. At first, I thought I would have to…

Learn the difference between APOC and native Cypher approach to batching transactions — When dealing with massive graphs and more extensive updates in Neo4j, you will likely run out of heap memory if you don’t resort to batching transactions. While you could use your favorite scripting language to batch transactions, you can also split a single Cypher query into multiple transactions directly in…

Leverage the power of Diffbot’s APIs and Neo4j to monitor and analyze articles revolving around cryptocurrency — Every day, millions of articles and papers are published. While there is a lot of knowledge hidden in those articles, it is virtually impossible to read all of them. …

Leverage the power of PyTorch Geometric to develop and train custom Graph Neural Networks for your application — I have wanted to write about the PyTorch Geometric (pyG) ever since I saw they announced their collaboration with Stanford University on their workshop. The PyTorch Geometric (pyG) is a library built upon PyTorch to help you easily write and train custom Graph Neural Networks for your applications. …

Exploratory graph analysis of 6 million NFT transactions — A couple of months ago, an article in Nature was published that maps 6.1 million transactions between June 2017 and April 2021 obtained primarily from Ethereum and WAX blockchains. It is an exciting article that analyzes the statistical properties of the market as well as some network characteristics. The authors…

High-performance data retrieval from Neo4j with Apache Arrow — The year is 2022, and graph machine learning is one of the rising trends in data analytics. While Neo4j has a Graph Data Science library that supports multiple graph algorithms and machine learning workflows, sometimes you want to export data from Neo4j and run it through your favorite machine learning…

Combine web scraping, OCR, and entity recognition to construct and analyze the Matrix interaction network in Neo4j — Christmas is just around the corner, and with it, comes the newest Matrix movie. I can’t think of a better way to wait till the movie is released than to perform a network analysis of the first Matrix movie. Agenda This blog post will present how to combine web scraping, OCR…