Graph Data Science Gets to the Heart of Corporate Analytics
Over 28,000 peer-reviewed scientific papers about graph-powered data science have been published in recent years - Read more here!
Aaron Bradley on Twitter
Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots https://t.co/xktHqliz8q pic.twitter.com/yZgiSFgQeI— Aaron Bradley (@aaranged) January 28, 2021
Graphs & Networks on Twitter
The English WordNet in #Neo4j. https://t.co/buXxA8OdqX #NLP #KnowledgeGraphs pic.twitter.com/MY0EAaRDon— Graphs & Networks (@TheOrbifold) February 1, 2021
Aaron Bradley on Twitter
A Knowledge Graph for the Agri-Food Sector @rapw3k https://t.co/Uko5uhcg2F— Aaron Bradley (@aaranged) February 1, 2021
Aaron Bradley on Twitter
"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
Michael Bronstein on Twitter
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
Aaron Bradley on Twitter
.@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
chiara veninata on Twitter
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
The Semantic Hypergraph — Graphbrain 0.4.0 documentation
Giuseppe Futia, PhD on LinkedIn: #NumPy #gat #graphs
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...
Interactive and Interpretable Machine Learning and Graph-Based Data Science
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
Dharam Kapila on Twitter
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
WikiResearch on Twitter
"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
Emil Eifrem on Twitter
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
Aaron Bradley on Twitter
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
Aaron Bradley on Twitter
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
Chorograph on Twitter
How graph data science is applied across various industries!https://t.co/Fmjm1ErG9C— Chorograph (@chorographltd) January 27, 2021
Teodora Petkova on Twitter
"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
Learning SPARQL on Twitter
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
WikiResearch on Twitter
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
Graph Data Science 101: Using Graph Data Science in the Real World | by Tech First | Medium
Today’s most pressing data challenges center around connections, not just tabulating discrete data. The ability for graph data science…
IPRally is building a knowledge graph-based search engine for patents
IPRally, a burgeoning startup out of Finland aiming to solve the patent-search problem, has raised €2 million in seed funding. Leading the round is JOIN Capital and Spintop Ventures, with participation from existing pre-seed backer Icebreaker VC. It brings the total raised by the 2018-founded company to €2.35 million. Co-founded by CEO Sakari Arvela, who […]
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Graph integration of structured, semistructured and unstructured data for data journalism https://t.co/rVzMyPDQSF pic.twitter.com/ohR6biQ9Rj— Aaron Bradley (@aaranged) December 17, 2020
Aaron Bradley on Twitter
Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media https://t.co/pLMXCgQOEx pic.twitter.com/xnt1jhcmdE— Aaron Bradley (@aaranged) December 17, 2020
Teodora Petkova on Twitter
Things gone "meta" :) https://t.co/BtdsUxUU6P Knowledge Graph about Knowledge Graphs.— Teodora Petkova (@TheodoraPetkova) December 18, 2020
Learning SPARQL on Twitter
“Wikipedia Knowledge Graph for Explainable AI” conference paper https://t.co/4SXkKKgDMK— Learning SPARQL (@LearningSPARQL) December 19, 2020
Aaron Bradley on Twitter
Not only an interesting paper having to do with knowledge graphs and wind turbines, but some of the illustrations *look like turbine blades viewed head on* - how cool is that? ;) https://t.co/WwhShrVA6G pic.twitter.com/okPtFCL0k0— Aaron Bradley (@aaranged) December 22, 2020
Michael Bronstein on Twitter
We kicked off our #NeurIPS2020 series joined by @TacoCohen, ML Researcher at @Qualcomm @Qualcomm_Tech, to discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks.”— The TWIML AI Podcast (@twimlai) December 22, 2020
Pierre Levy on Twitter
#neurosymbolic #AI = #DeepLearning x #KnowledgeGraphs https://t.co/ZMV0UPjchK— Pierre Levy (@plevy) December 24, 2020