This Startup Is Creating A Real-Time Data Map Of The Global Economy. BlackRock And PayPal Are Buying It
Two philosophers are using machine learning and artificial intelligence to create a real-time map of the global economy, and the world’s largest financial firms are lining up at its door.
This Week in Neo4j - Build a just-in-time data warehouse with Neo4j Streams, Releases of Graph Algorithms and Neo4j Desktop, Stored Procedure Masterclass - Neo4j Graph Database Platform
Explore everything that's happening in the Neo4j community for the week of 2 February 2019, including building a just-in-time data warehouse with Neo4j Streams.
This Week in Neo4j - Link Prediction with Neo4j, Graphs for healthcare search, XRP graph, Querying Neo4j Clusters - Neo4j Graph Database Platform
Explore everything that's happening in the Neo4j community for the week of 9 March 2019, includign link prediction and what happens when you query a Neo4j cluster.
This Week in Neo4j – Social Knowledge Graph, COVID-19 Contact Tracing, Graph Mutability in GDS
Hi graph gang, In this week’s video, Jans, Niels, and Morgan show how to build a social knowledge graph based on data from collaboration tools that we use at Neo4j. Rik Van Bruggen queries the COVID-19 Contact Tracing Graph, Tomaz… Read more →
This year, the @UGent Web Development course kicks off with a very special guest: @timberners_lee introduces to our students his invention that changed the world. Not “vague but exciting”—rather crystal clear and as passionate as ever. https://t.co/E4JQH3bFfM
Those interested in a comprehensive overview of the current status of Linked Data Integration (at large scale) can read our ACM Computing Surveys (!) article. Preprint: https://t.co/uwGeGcm1UHCongrats @mountantonakis #LinkedData #RDF, #Integration #KnowledgeGraphs pic.twitter.com/NyN4XJIAYo— Yannis Tzitzikas (@YTzitzikas) September 16, 2019
Thoughts on Rich Sutton’s “Bitter Lesson” – Frank van Harmelen
I’ve been thinking on and off about Rich Sutton’s piece The Bitter Lesson. Here are three corners that I think Sutton is cutting too quickly: 1. Moore’s Law is way too slow to mak…
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
TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
.@TigerGraph #graphDB updates its #Cloud offering with configuration for distributed graphs, replica instances for high availability, EFS for backup/restore. Updates available by end of 2019 on #AWS, #Azure to follow in Q1 2020
A year after emerging from stealth mode, graph database startup TigerGraph is expanding its offerings to include a cloud database service that supports AI
TigerGraph Launches PartnerGraph Program to Meet Growing Demand for Graph Analytics in AI and Machine Learning
TigerGraph Launches PartnerGraph Program to Meet Growing Demand for Graph Analytics in AI and Machine Learning - New Program Enables Partners to Leverage Leading Scalable Graph Database and Analytics Platform
TinkerPop on Twitter: "3.4.0 Highlights - Adding an index to collection values is now a lot easier with index() https://t.co/nn6klvcU5X #graphdb… https://t.co/4my3XyKQNy"
3.4.0 Highlights - Adding an index to collection values is now a lot easier with index() https://t.co/nn6klvcU5X #graphdb pic.twitter.com/BWVOcc957r— TinkerPop (@apachetinkerpop) January 10, 2019
TinkerPop on Twitter: "3.4.0 Highlights - GraphBinary is the new network serialization format that has shown to be significantly faster than the existing options. Expect more developments to come as the 3.4.x line of code develops - https://t.co/GkTEMmmTB
3.4.0 Highlights - GraphBinary is the new network serialization format that has shown to be significantly faster than the existing options. Expect more developments to come as the 3.4.x line of code develops - https://t.co/GkTEMmmTBJ #graphdb pic.twitter.com/WTMyI8nv6l— TinkerPop (@apachetinkerpop) January 11, 2019
TinkerPop on Twitter: "3.4.0 Highlights - The "g" variable,(i.e. the TraversalSource) is the gateway to writing Gremlin. TinkerPop has offered a number of ways to construct it but now those approaches are unified by the static traversal() method https://t
3.4.0 Highlights - The "g" variable,(i.e. the TraversalSource) is the gateway to writing Gremlin. TinkerPop has offered a number of ways to construct it but now those approaches are unified by the static traversal() method https://t.co/EeesiRCdQv #graphdb pic.twitter.com/FORIvmu6F3— TinkerPop (@apachetinkerpop) January 9, 2019
TinkerPop on Twitter: "3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb… https://t.co/mY
“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”
TinkerPop on Twitter: "3.4.0 Highlights - Use #sparql with any TinkerPop-enabled graph system. This feature should be as interesting to graph providers as it is to users because implementing TinkerPop means getting other query languages besides Gremlin fo
3.4.0 Highlights - Use #sparql with any TinkerPop-enabled graph system. This feature should be as interesting to graph providers as it is to users because implementing TinkerPop means getting other query languages besides Gremlin for free https://t.co/cBxjH8BCsW #graphdb #rdf pic.twitter.com/dQsXqCJtL2— TinkerPop (@apachetinkerpop) January 9, 2019
TinkerPop on Twitter: "Apache TinkerPop 3.3.5 Released. Gremlin Symphony #40 in G Minor https://t.co/lgWIBL4Q23 #graphdb #nosql… "
Apache TinkerPop 3.3.5 Released. Gremlin Symphony #40 in G Minor https://t.co/lgWIBL4Q23 #graphdb #nosql pic.twitter.com/8UBWfI7aCt— TinkerPop (@apachetinkerpop) January 9, 2019
TinkerPop on Twitter: "Apache TinkerPop 3.4.0 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/b6wgT8GnuE #graphdb #nosql… https://t.co/7f3rKVUXol"
Apache TinkerPop 3.4.0 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/b6wgT8GnuE #graphdb #nosql pic.twitter.com/FnNxhQULfD— TinkerPop (@apachetinkerpop) January 9, 2019
In this post, we go into detail on how we optimized our data pipeline to be ultra efficient to both load historical bitcoin chain data and keep up to date with new blocks as they arrive. Hope you find it useful! 🤓 pic.twitter.com/fuaWXq9gPn— TokenAnalyst (@thetokenanalyst) February 22, 2019
ELMo’s LM was bi-directional, but the openAI transformer only trains a forward LM. A transformer-based model whose LM looks both forward & backwards?-> transformer encoders :: BERT https://t.co/j20F9RFoD5READ:https://t.co/8OsE3c7Vxh#LM_M = Language Model, masked #NLP— Tom (@data_topology) December 14, 2018
Tomer Levi on Twitter: "If you're using #ApacheSpark to load data into #Neo4j you might be interested in our latest contribution to https://t.co/MzCRWUdu8h. Thanks to @mesirii, we added more functionality to Neo4jDataFrame, improving relationship creation
If you're using #ApacheSpark to load data into #Neo4j you might be interested in our latest contribution to https://t.co/MzCRWUdu8h.Thanks to @mesirii, we added more functionality to Neo4jDataFrame, improving relationship creation and adding node creation functionality 💪— Tomer Levi (@Tomer_Levi) February 12, 2019
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