Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
Grab your free copy of the brand new O'Reilly book, "Graph Algorithms: Practical Examples in Apache Spark & Neo4j" – a practical guide to graph analytics.
Georgia Tech, UC Davis, Texas A&M Join NVAIL Program with Focus on Graph Analytics - NVIDIA Developer News CenterNVIDIA Developer News Center
yWorks releases version 2.2 of yFiles for HTML!
‘Game of Thrones’ Relationship Graph
yWorks’ submission to the Graph Drawing Contest 2018 in Barcelona, Spain
Graph to graph with Elixir – Tony Hammond – Medium
Moving data between semantic and property graphs
Home - Trovares
Hurdling Data Modeling Challenges in Finance and Other Verticals
AI Business is dedicated to bringing relevant information regarding AI in the enterprise
Finding experts in GrapAL – Semantic Scholar
Solving business problems with graphs - 6point6
All organisations find it difficult to fully describe their organisation in data. One of the most common pitfalls is underestimating the number of human-driven connections between data which have never been captured digitally.
Graph Pattern Matching in GSQL - TigerGraph
In this short technical blog, I will show you how to use GSQL to search a graph for all the occurrences of a small graph pattern. We call this pattern matching. Consider the problem of matching a pattern of vertices and directed edges in a...
Hansel and Gretel & Big Data Analytics with Graphs - TigerGraph
Given a set of business entities such as two merchants for financial services or two doctors for healthcare, how are they related? Do they have customers or patients in common and how is their relationship evolving over a period of time?
The GraphTech Ecosystem 2019 - Part 3: Graph visualization - Linkurious
This post presents the ecosystem of graph visualization. Read on to find the full list of graph visualization software and graph visualization libraries.
Adam Cowley on Twitter: "How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole. Say you have a model of (:Document)-[:MENTI
How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole.Say you have a model of (:Document)-[:MENTIONS]->(:Term)1/— Adam Cowley (@adamcowley) April 6, 2019
Dan Brickley on Twitter: "does it support reverse direction edges?… "
does it support reverse direction edges?— Dan Brickley (@danbri) March 18, 2019
Saveoney Software Consultants on Twitter: "The SPARQL 1.2 Community Group has been launched. They are looking for members to help with the new spec. Go on over and take a look. #sparql #w3c #webstandards https://t.co/THjGsaEoTN"
The SPARQL 1.2 Community Group has been launched. They are looking for members to help with the new spec. Go on over and take a look.#sparql #w3c #webstandardshttps://t.co/THjGsaEoTN— Saveoney Software Consultants (@saveoney) April 2, 2019
Varitimou Natasa on Twitter: "Refinitiv ( Former Financial and Risk Business of Thomson Reuters) uses SHACL. Our Metadata Registry is entirely made from SHACL models. Additional shacl files to enforce conformance with our URI strategy, provenance standard
Refinitiv ( Former Financial and Risk Business of Thomson Reuters) uses SHACL. Our Metadata Registry is entirely made from SHACL models. Additional shacl files to enforce conformance with our URI strategy, provenance standards and smaller data patterns etc.— Varitimou Natasa (@nvaritimou) April 1, 2019
Dario Taraborelli on Twitter: "“We are also releasing the first published embeddings of the full @Wikidata graph of 50M Wikipedia concepts, which serves as structured data for use in the AI research community. The embeddings can help other researchers per
“We are also releasing the first published embeddings of the full @Wikidata graph of 50M Wikipedia concepts, which serves as structured data for use in the AI research community. The embeddings can help other researchers perform machine learning tasks on Wikidata concepts.” https://t.co/1nqwaJvD8d— Dario Taraborelli (@ReaderMeter) April 3, 2019
PyTorch-BigGraph: Faster embeddings of large graphs
Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.
The Atoms and Molecules of Data Models - DATAVERSITY
I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules?
Graph-assisted Typescript refactoring
When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user...
RReduX: The Fabled GMachine
dagrep_v008_i009_p029_18371.pdf
TigerGraph Brings Together Pattern Matching and Efficient Graph Computation for the First Time – a Boon for Fraud Detection, Cybersecurity Protection, AI and More
TigerGraph 2.4 Enables Enterprises to Discover Deep Insights Missed by Competing Graph Databases
Gaurav Vaidya on Twitter: "Joshua Shinavier from Uber coming up with a broad definition of knowledge graphs #us2ts2019… "
Joshua Shinavier from Uber coming up with a broad definition of knowledge graphs #us2ts2019 pic.twitter.com/0LbMMJQP6S— Gaurav Vaidya (@mrvaidya) March 11, 2019
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The XRP Ledger And Graphs: Pattern Detection And Fraud Investigation
How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.
Marko A. Rodriguez on Twitter
My thoughts on the future of @apachetinkerpop.I believe:Apache TinkerPopA Graph Computing Frameworks==should become==>Apache TinkerPopA Distributed Computing Virtual Machine and Languagehttps://t.co/Z5BKnewpS0 #graphdb #nosql pic.twitter.com/yX2wvoRaYQ— Marko A. Rodriguez (@twarko) February 26, 2019
Aaron Bradley on Twitter
Hey Dan, thanks for the ping. First of all, I'll point y'all to a related thread a few weeks ago... https://t.co/haTtBJfAhA 1/24— Aaron Bradley (@aaranged) February 25, 2019
graph visualization - April.mydearest.co
Speaker identification meets graphs
In social network analysis, a conventional approach relies heavily on available metadata, allowing to match a virtual entity (social network account) to...
Scientific Literature Monitoring for Drug Safety Signals |
Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.