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A primer on Networks and Graphs
A primer on Networks and Graphs
Cracking the code of complex systems. It's not the 'Matrix'. 🕶️ A primer on Networks and Graphs. 🕸️ Networks represent the connections between discrete…
A primer on Networks and Graphs
·linkedin.com·
A primer on Networks and Graphs
Key structures emerging in high-dimensional networks
Key structures emerging in high-dimensional networks
Chaotic mess or meaningful maps? 🌪️🌐 Zooming out reveals the hidden logic beneath. Let's unpack the key structures emerging in high-dimensional…
key structures emerging in high-dimensional networks
·linkedin.com·
Key structures emerging in high-dimensional networks
Graph Theory and Its Implications: A Quantitative Point of View
Graph Theory and Its Implications: A Quantitative Point of View
Graph Theory and Its Implications: A Quantitative Point of View In the technical universe of quantitative finance, graph theory has been gaining prominence… | 15 comments on LinkedIn
Graph Theory and Its Implications: A Quantitative Point of View
·linkedin.com·
Graph Theory and Its Implications: A Quantitative Point of View
Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench | Amazon Web Services
Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench | Amazon Web Services
Many global corporations are managing multiple supply chains, and they depend on those operations to not only deliver goods on time but to respond to divergent customer and supplier needs. According to a McKinsey study, it’s estimated that significant disruptions to production now occur every 3.7 years on average, adding new urgency to supply chain […]
·aws.amazon.com·
Supply chain data analysis and visualization using Amazon Neptune and the Neptune workbench | Amazon Web Services
Hierarchical Navigable Small World (HNSW) is one of the most efficient ways to build indexes for vector databases. The idea is to build a similarity graph and traverse that graph to find the nodes that are the closest to a query vector
Hierarchical Navigable Small World (HNSW) is one of the most efficient ways to build indexes for vector databases. The idea is to build a similarity graph and traverse that graph to find the nodes that are the closest to a query vector
We have seen recently a surge in vector databases in this era of generative AI. The idea behind vector databases is to index the data with vectors that relate… | 30 comments on LinkedIn
·linkedin.com·
Hierarchical Navigable Small World (HNSW) is one of the most efficient ways to build indexes for vector databases. The idea is to build a similarity graph and traverse that graph to find the nodes that are the closest to a query vector
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
Change & Risk Require New Enterprise Tools As AI systems, bots (both digital and physical), AI leveraged smart digital identities, and IoT devices invade your enterprise, it increases the pace of change and risk. This brief article focuses on why you should be deploying TODA, EMS and graphs in your
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age”
·linkedin.com·
TODA, EMS & Graphs – New Enterprise Architectural Tools For A New Age
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Dublin, April 24, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Analytics Market: Analysis By Component, By Deployment, By Enterprise Size, By Application,...
·globenewswire.com·
Global Graph Analytics Market Analysis Report 202: A $6.9 Billion Market by 2028 from $1.14 Billion in 2022 - Increasing Adoption of Graph AI & Surge in Adoption of Machine Learning
Visualize Graphs in the Browser With Just a Few Lines of the New Orb Code
Visualize Graphs in the Browser With Just a Few Lines of the New Orb Code
Orb is an open-source library developed by Memgraph you can use to visualize graphs by adding just a few lines to your frontend code. This blog post will show you all the cool features Orb offers and how to implement them in your project. Or don't and have slow and appalling graph visualizations - it's your choice. Seriously, use it... it's very easy and fun!
·memgraph.com·
Visualize Graphs in the Browser With Just a Few Lines of the New Orb Code
The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j
The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j
A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social network of 3 billion people, distributed across 1000 servers. The latter is a demo; the former is not. But both are real signs that the graph market and Neo4j are getting huge.
·zdnet.com·
The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j