Fanghua Yu, Field Engineer, Neo4j Apr 25 11mins read
What LLM & Graph May Bring to the Future of Knowledge GraphsNight light at Federation Square in Melbourne, photo by AuthorAbstractIn the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based… Read more →
Nathan Smith, Senior Data Scientist at Neo4j Feb 29 13mins read
CLARANS extend k-medoids to larger datasets than were practical with earlier k-medoid algorithms, which is ideal for clustering large graphs. Read more →
Tom Nijhof, Back End Developer at CytoSMART May 25, 2023 4mins read
Fast-track your graph database setup with a preloaded Neo4j: PubChem, NCI60, ChEMBL datasets. Explore chemical compounds and biomedical experiments effortlessly. Read more →
William Lyon, Developer Relations Engineer May 16, 2023 15mins read
Hands-On Workshop Exploring Working With Road Network Data and Routing With Graph AlgorithmsRunning path-finding algorithms on large datasets is a use case that graph databases are particularly well suited for. While often pathfinding algorithms are used for finding routes using… Read more →
Tomaž Bratanič, Graph ML and GenAI Research, Neo4j Mar 08, 2023 11mins read
ChatGPT has changed how I, and probably most of you, look at AI and chatbots. We can use chatbots to help us find information, construct creative works, and more.However, one problem with ChatGPT and similar chatbots is that they can hallucinate… Read more →
Tomaž Bratanič, Graph ML and GenAI Research, Neo4j Jul 21, 2022 12mins read
Knowing your users is vital to any business. When your users can interact with each other on a social media platform, content sharing platform, or even work-related platforms, you can construct a network between your users based on their interactions and extract graph-based features to segment your users. Of course, these same approaches can be applied to other platforms that are not user-centric. Read more →
Tomaž Bratanič, Graph ML and GenAI Research, Neo4j Jul 06, 2022 14mins read
A wave of graph-based approaches to data science and machine learning is rising. We live in an era where the exponential growth of graph technology is predicted [1]. The ability to analyze data points through the context of their relationships… Read more →
Ali Emre Varol, Data Scientist and Certified Neo4j Professional Apr 29, 2022 12mins read
In this blog post, we’ll use Neo4j to turn the European Gas Network into a knowledge graph to analyze the data.Photo by Rostislav Artov, UnsplashThe crisis between Ukraine and Russia caused relations between Russia and the E.U. to fall to the lowest… Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Mar 01, 2022 9mins read
In part 4 of our fraud detection series, we will cover how to apply graph machine learning to predict the high fraud risk user accounts we labeled in parts 1, 2, and 3. Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Mar 01, 2022 5mins read
In part 3 of our fraud detection series, we may want to expand beyond our business logic to automatically identify other users that are suspiciously similar to the fraud risks already identified. Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Mar 01, 2022 6mins read
In part 2 of this fraud detection series, we will provide more formal definitions for resolving entities that will allow us to partition well-defined communities in a scalable manner. Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Mar 01, 2022 6mins read
In the first part of this fraud detection series, we will introduce the sample graph dataset we are using and begin exploring the graph for potential fraud patterns. Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Mar 01, 2022 3mins read
Fraud Detection is one of today's most challenging data science problems. Thankfully, Neo4j Graph Data Science (GDS) offers practical solutions that empower data scientists to make rapid progress in fraud detection analytics and machine learning. Read more →
Zach Blumenfeld, Data Science Product Specialist, Neo4j Jan 04, 2022 3mins read
In this post we explore how to get started with practical and scalable recommendation in graph. We will walk through a fundamental example with news recommendation on a dataset containing 17.5 million click events and around 750K users. Read more →
Tomaž Bratanič, Graph ML and GenAI Research, Neo4j Oct 13, 2021 6mins read
Learn how you can use correlation between stock prices to infer a similarity network between stocks – and then use that network information to help you diversify your portfolio. Read more →
Nathan Smith, Senior Data Scientist at Neo4j Oct 01, 2021 6mins read
Check out the newest algorithm in the GDS Library, Approximate Maximum K-cut, to cluster related products and separate conflicting entities. Read more →
Lju Lazarevic, Developer Advocate Neo4j Jun 04, 2021 4mins read
We’re bucking the recent trend of pre-recorded talks with a fully immersive, fully interactive experience for NODES 2021. Tell your colleagues to leave you alone that day, because you will not want to miss out! Read more →
APOC contains about 500 procedures and functions, here we’ll discuss some of them that are very interesting and use cases about their applications. Enjoy!Started as a very simple collection of useful Procedures and Functions in 2016 the APOC project raised… Read more →
In this episode of the GraphStuff.FM podcast, Lju Lazarevic and Will Lyon break down how the different pieces of the Neo4j Graph Data Platform fit together. Read more →
Elaine Rosenberg, Curriculum Developer at Neo4j Mar 29, 2021 4mins read
Whether you want to assess your skills, improve your CV, impress your boss or your family, the Neo4j Certifications will help you demonstrate your expertise with the most widely-used graph database. Read more →
Davide Fantuzzi, Data Engineer, LARUS Business Automation Mar 18, 2021 6mins read
Hear the story about how we at Larus, together with Neo4j, built the official Neo4j Connector for Apache Spark, and how we overcame some of the obstacles we found on our way.What you’ll read in this article are experiences we had… Read more →