GraphNews

"Each instance of ResearchSpace has at its core a dynamic and expandable graph-based representation of networks of people, things, places, and events, a structure we refer to as the knowledge graph." https://t.co/oab1VKFPVd— Aaron Bradley (@aaranged) February 1, 2021

Dynamic graphs are a big part of how Twitter does what it does. We use them to model networks that evolve over time. In this post @emaros96 & @mmbronstein discuss a new ML model developed by Twitter to efficiently predict activity in dynamic graphs.https://t.co/BKk0BBTAk0— Twitter Engineering (@TwitterEng) February 1, 2021

https://t.co/SfPYXk7kjv is an easy yet beautiful tool for modeling graphs. Try modeling your next brainstorming session or entity relationship diagram into a graph and see how it feels.Homepage: https://t.co/1JVSaaihnuKudos @neo4j for updating this community tool. pic.twitter.com/8s8sdcg4zv— John Kary (@johnkary) February 2, 2021

.@tb_tomaz shows "how you can create a news monitoring data pipeline that combines Natural Language Processing and knowledge graphs technologies." https://t.co/VHYOKOi95L— Aaron Bradley (@aaranged) February 2, 2021

Yay! #Pattern-based design applied to #culturalheritage #knowledgegraphs published at @SW_Journal 🤓you should read it if you want to: know how a modelling issue turns into an #ODP, learn about the #Italian CH, find out the dimensions for KG #evaluation...https://t.co/4SXMTKaigC pic.twitter.com/TA4o7IqLwL— Valentina Carriero (@vale_carriero) January 28, 2021

Commonsense Knowledge Mining from Term Definitions / Zhicheng Liang & @dlmcguinness https://t.co/vvpfdQILCn pic.twitter.com/QV9yqS5sD2— Aaron Bradley (@aaranged) February 2, 2021

In the wake of the coronavirus pandemic, organizations equipped with cloud-based systems and tools are poised for growth in a reformed landscape.

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Gram is a textual format for data. We have CSV for tables, JSON for documents, and gram for data graphs.

Graphcore Director of Research Carlo Luschi discusses AI research directions in 2021, including training efficiency and parallel training.

By equipping people with personal data vaults, we can leverage _more_ data for _better_ services ◆ We’re living in a data-driven economy, and that won’t change anytime soon. Companies, start-ups, organisations, and governments all require some of our data to provide us with the services we want and need…

Linked Data is still largely unknown, or misunderstood and undervalued. Often, people find it simply too difficult. So I keep looking for new ways to make

Multi-Model Database Use Case

Check out my new article for Towards Data Science: "Graph Attention Networks Under the Hood". A Step-by-step Guide From Math to #NumPy https://lnkd.in...

Sat, Jan 30, 2021, 11:30 AM: Hi Everyone,Agenda:11:30 am - 11:45 Introductions/Meet and greet11:45 - 12:45: Interactive Visualization for Interpretable and Interactive Machine Learning with Professor

For a full day on December 14, 2020, LinkedIn sponsored a virtual workshop called Metadata Day, followed by a public online meetup called…

Understanding narratives requires reasoning about implicit world knowledge related to the causes, effects, and states of situations described in text. At the core of this challenge is how to...

Excited to share my new Chrome extension, Side Portal :) Browse Wikipedia spatially - in a graph view, and with a right sidebar like Roam Research!@Conaw @roamhacker @thepericulum @cortexfutura @visakanv @Mappletons @alycosta @andy_matuschak @azlenelzahttps://t.co/04VptEgcbA pic.twitter.com/shYgOqSOOd— Dharam Kapila (@DharamKapila) January 26, 2021

Third in a series on Cognitive Computing Research – The Age of Knowledge Emerges By Gadi Singer, Intel Labs The next big thing - Cognitive AI To address a new level of higher machine intelligence that can truly ‘think’ in new situations, a categorical transition is needed to evolve AI beyond the

"Dimensions of Commonsense Knowledge" a survey of a wide range of popular commonsense sources with a classification of their relations.(Ilievski et al, 2021)https://t.co/7rCcH9glpG@BoschResearch @oltramale pic.twitter.com/ZENgmKm0Mt— WikiResearch (@WikiResearch) January 27, 2021

Mindblowing momentum behind Aura right now. 7 month after we pivoted the roadmap in the midst of COVID, we today announce General Availability of Aura Enterprise on GCP, and open up the EAP for AWS! Check out that list of customers & breadth of use cases! https://t.co/EQXqJNK6lv pic.twitter.com/VbozcQHdUi— Emil Eifrem (@emileifrem) January 27, 2021

This week's #GraphCast features a video on how to use graph theory to determine the possible number of orders to watch all the Marvel movies.

Discuss: "We shouldn’t be fixated on the graph itself, but on enabling knowledge workflows. KG technologies allow the introduction of automation into information worker workflows, helping them save time on mundane information processing tasks." @mikektung https://t.co/nLwRPLOlly— Aaron Bradley (@aaranged) January 21, 2021

JSON-LD (endorsed by #schema.org Jun. '13) has finally almost overtaken microdata (recommended in the original #schema.org release of Jun. '11) https://t.co/7Isx6tX0Iv pic.twitter.com/xnfqc0oQ8N— Aaron Bradley (@aaranged) January 21, 2021

Bias in ontologies - a preliminary assessment / C. Maria Keet https://t.co/x1VaU9yX4R 2/2 pic.twitter.com/pdeyXdmFZs— Aaron Bradley (@aaranged) January 21, 2021

In this week's #twin4j, Bhavesh Pandey starts building a graph backed asset management systemhttps://t.co/tXfNUTky6K#Neo4j pic.twitter.com/e8CMyVAtHU— Neo4j (@neo4j) January 25, 2021