Tag: Graph

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. Graph Data Science features are now available in Bloom 2.3! Just select the Graph Data Science icon and choose from the available algorithms. The GDS plugin needs to be installed on the database for self-managed users, or you can use AuraDS. To get an idea of what Bloom and Graph Data Science are capable of, read Zach Blumenfeld ’s blog on using graph technology on a freight forwarding logistics network. In this first blog in the series, he gets us started with experimentation and visualization of supply chain data using ... Read More

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. All great things come in pairs: Peanut butter and jelly (or jam, for our international readers) Fish and chips Gin and tonic Simon and Garfunkel And the list goes on… Well, for some time now, Neo4j Bloom has been a great companion to Neo4j Graph Data Science. For example, by enriching nodes with the Graph Data Science library outputs like centrality measures or community algorithms, users can apply rule-based styling in Bloom to easily visualize results. And that’s just the tip of the iceberg.With today’s latest release of Neo4j Bloom 2.3, we ... Read More

Feed: Planet MySQL; Author: Frederic Descamps; Full table scans can be problematic for performance. Certainly if the scanned tables are large. The worst case is when full table scans are involved in joins and particularly when the scanned table is not the first one (this was dramatic before MySQL 8.0 as Block Nested Loop was used) ! A full table scans means that MySQL was not able to use an index (no index or no filters using it). Effects When Full Table Scans happen (depending of the size of course), a lot of data gets pulled into the Buffer Pool ... Read More

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings.That blog post garnered a lot of attention from data scientists looking to amplify their machine learning (ML) pipelines by feeding knowledge (graph features) of the graph to enhance the ML model’s predictability.Since then, Neo4j released a new 2.0 version of the Neo4j Graph Data Science Platform. This makes it incredibly simple to get started on Google Cloud with the general availability ... Read More

Feed: Recent Announcements. You can now run graph analytics and machine learning tasks on graph data stored in Amazon Neptune using an open-source Python integration that simplifies data science and ML workflows. With this integration, you can read and write graph data stored in Neptune using Pandas DataFrames in any Python environment, such as a local Jupyter notebook instance, Amazon SageMaker Studio, AWS Lambda, or other compute resources. From there, you can run graph algorithms, such as PageRank and Connected Components, using open-source libraries like iGraph, Network, and cuGraph. Today’s launch helps customers to build and innovate faster by simplifying ... Read More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. I’m thrilled to announce the launch of our new community platform, hosting more content and scaling to infinite conversations. It is just the beginning! Our goal remains the success of our community members, helping grow their relationships in the world of graphs! Learn more about this recent move. In this week’s newsletter, learn about estimating the probability of a drug receiving approval in clinical trials – a huge optimization of the pharmaceutical research workflow. The authors of this study used Neo4j to ingest data from diverse databases independently, then integrated them based ... Read More

Feed: Neo4j Graph Data Platform. Author: Neo4j Staff. Here is the actual point of a true, native graph database: Real solutions require visualization. When you can see the problem, you can find the solution. And when you can project the problem to your database manager as something it can see, it can find the solution without you having to massively transform your data first. Of course, what you really need to make this happen is the right graph. The right graph The right graph — and there truly is such a thing as “the right graph” — is never terrifically complex.  For ... Read More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. We are very proud to announce the 2022 Neo4j Connected Data Fellowship in partnership with the International Consortium of Investigative Journalists (ICIJ). The fellowship, first initiated in 2017, is inspired by the ability of graph databases to strengthen reporting and help journalists understand large datasets. This technology was essential in uncovering ICIJ’s prize-winning investigations, including the Panama Papers, Pandora Papers, and the FinCEN Files. The 2022 fellowship brings an independent, dedicated data scientist to work with the ICIJ to help make sense of complex data and promote greater transparency. The ICIJ ... Read More

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. Want a dose of authentic inspiration from the man himself? Our CEO and Co-founder Emil Eifrem conceived of the first graph database on the back of a napkin on a flight to Mumbai over 20 years ago. What happened after that? He shares the story of Neo4j’s rise and growth with Nik Vora, Vice President of APAC, and identifies some flagship moments that told him he was on the right path. Learn more about Neo4j and the extensive applications of graph technology by reading through their interview below. Get inspired and enjoy! ... Read More

Feed: Neo4j Graph Data Platform. Author: Enzo. At Uplevel, a cybersecurity company, we apply graph query machine learning to enhance the effectiveness and efficiency of security operations teams. “A Picture Is Worth 1,000 Rows” really encapsulates one of the core advantages that graphs can provide in cybersecurity. Many times security analysts are stuck reviewing thousands of rows and are trying to find the connections between those rows entirely based on their own experience. In this blog, I will share some background on how graph algorithms can help automate that process. Security Teams Are Overwhelmed With DataPeople tend to believe that ... Read More