GraphNews

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

In this week's #twin4j, @BarrasaDV shows how to use a SKOS taxonomy for semantic search on a document repository https://t.co/hGIiPxclys #neo4j #n10s pic.twitter.com/lXSXYX1XQK— Neo4j (@neo4j) January 23, 2021

In this blog, Bob discusses the tricky and subtle difference between Topics and Concepts in taxonomies

How graph data science is applied across various industries!https://t.co/Fmjm1ErG9C— Chorograph (@chorographltd) January 27, 2021

"A Review of the Semantic Web Field," by @PascalHitzler @KState, looks at the history, key concepts, #standards, and prominent outcomes of Semantic Web research https://t.co/riJ7rz9gGC. Hitzler discusses his work in an original video at https://t.co/B5jKfzrKIt. pic.twitter.com/JyqXetKLAq— Communications of the ACM (@CACMmag) January 26, 2021

I just wrote a blog about a 1 hour experiment I did today: using hugging face transformer QA model and SPARQL queries to DBPedia for a simple natural language interface: https://t.co/QjfvWHNTsv— mark_l_watson (@mark_l_watson) January 18, 2021

Gram: a data #graph format. https://t.co/bVs9TeEVBM pic.twitter.com/Dc7E8haxm5— Graphs & Networks (@TheOrbifold) January 26, 2021

New #openaccess research from @jjkoehorst and colleagues: A protocol for adding knowledge to #Wikidata: aligning resources on human coronaviruses. #Covid19 Read it here: https://t.co/TWkHhRPlA1 pic.twitter.com/ayoSFs0ztd— BMC Biology (@BMCBiology) January 25, 2021

Today’s most pressing data challenges center around connections, not just tabulating discrete data. The ability for graph data science…