Aaron Bradley on Twitter
Type-augmented Relation Prediction in Knowledge Graphs https://t.co/aKqGI7S3GW pic.twitter.com/2PgPhEVvTJ— Aaron Bradley (@aaranged) September 18, 2020
GraphNews
stephen mallette on Twitter
This "Load balance graph queries using the Amazon Neptune Gremlin Client" blog post is a nice body of work covering a more advanced topic than is typically seen in the TinkerPop community. https://t.co/4mJVRxENwL #graphdb pic.twitter.com/d94tOwUaQB— stephen mallette (@spmallette) September 17, 2020
Sergey Ivanov on Twitter
This year we organize Graph ML track at Data Fest 2020. It's like a workshop at the conference, but more informal. We will have videos from amazing speakers and also networking, where you can talk to me, speakers, or other people who are interested in graph machine learning. pic.twitter.com/kTrJsc7ca2— Sergey Ivanov (@SergeyI49013776) September 17, 2020
Graph Day on Twitter
Industry Applications of Network Science and Graph Algorithms : from @Tamer_Khraisha https://t.co/i4RbHEVokk#networkscience #graphalgorithms #graphdatabase #graphtheory #graphdatabase pic.twitter.com/KktQ4GGmyc— Graph Day (@GraphDay) September 16, 2020
Graph Day on Twitter
Knowledge Graphs and Big Data Processing : From @ValentinaJanev @hajiraajabeen @DGraux Emanuel Sallingerhttps://t.co/2hLlLXwZ1l#knowledgegraphs #bigdata #graphdatabase #graphdatabases #knowledgegraph pic.twitter.com/Mo46l3yj4p— Graph Day (@GraphDay) September 16, 2020
WikiResearch on Twitter
"Covid-on-the-Web: Knowledge Graph and Services toAdvance COVID-19 Research" a dataset comprising twomain knowledge graphs, including named entities linked to @DBpedia, @Wikidata and other @BioPortal vocabularies.(Michel et al, 2020)https://t.co/iZJH9Y2PpV pic.twitter.com/7hY0QpUQfv— WikiResearch (@WikiResearch) September 21, 2020
WikiResearch on Twitter
The Research team at the @Wikimedia Foundation will give an overview on the first draft of the taxonomy of knowledge gaps in Wikimedia projects. You can read more about the taxonomy here: https://t.co/8eAj6mpvIP pic.twitter.com/P4p29vJO7i— WikiResearch (@WikiResearch) September 22, 2020
gremlify.com on Twitter
Use #gremlin to find the shortest path between nodes in a #graph. Checkout this Gremlify workspace:#graphdb #gremlinhttps://t.co/qYZb5EbaVL— gremlify.com (@gremlify) September 24, 2020
Olaf Hartig on Twitter
Cool! RDF* support in Neo4j's RDF plug in. https://t.co/f7t2Iyo8rY— Olaf Hartig (@olafhartig) September 24, 2020
TigerGraph on Twitter
“How do you select a graph database? Learn how in @itworldca. Read here: https://t.co/Z529PWdeW6 | #GraphDatabase #GraphDB #GraphAnalytics #DataScience #Developer #Analytics #BigData”
Synaptica LLC on Twitter
Finding buried treasure: article on the role of graph databases in HR & HCM (Human Capital Management) #KnowledgeGraphs#Datahttps://t.co/pZB7PuDco9 pic.twitter.com/mQqH2Drhqy— Synaptica LLC (@Synaptica) September 25, 2020
TopQuadrant on Twitter
TopQuadrant CEO, Irene Polikoff, provides an overview of the two main graph models along with illustrations of their similarities and differences in graph diagrams in Part I of II in this article series from @TDAN_com https://t.co/CxOrTb3ELL#knowledgegraphs #datagovernance— TopQuadrant (@TopQuadrant) September 25, 2020
Frank Dellaert on Twitter
“My post on Mount Rainier’s Laplacian (https://t.co/ONdkZJdayX) is a 101 intro to aspects of spectral graph theory. This great talk by @mmbronstein shows how this theory also forms the basis of deep learning on graph-like structures. Read at least 5 papers today because of it. https://t.co/eMsV9...
stephen mallette on Twitter
I'll be discussing "Graph Queries with Gremlin Language Variants" at the Category Theory and Applications group meetup on October 6: https://t.co/MG1HpNEiGd Be prepared to see Gremlin in many different forms! #graphdb pic.twitter.com/OIOsfLvWze— stephen mallette (@spmallette) September 28, 2020
Alan Morrison on Twitter
"Therefore, the job of data scientists is to decode the data and to find the knowledge encoded in the data—i.e., to find the model in the data, because the data is the model." - @KirkDBorne, @BoozAllen https://t.co/sZJzBkiA1p pic.twitter.com/NpKaDLLUuL— Kirk Borne (@KirkDBorne) September 28, 2020
WikiResearch on Twitter
😉Happy to share our work on multi-hop (open-domain) QA (https://t.co/7BhmCqX64m). TL;DR: you don't need the Wikipedia hyperlinks to achieve SoTA performance on HotpotQA(@qi2peng2 )! A shared RoBERTa encoder (for both Q and docs) is all you need to retrieve SP passages! 1/3 pic.twitter.com/B9JO85Vd1l— Wenhan Xiong (@xwhan_) September 29, 2020
Learning SPARQL on Twitter
Interesting paper on which parts of SPARQL query language are easier or more difficult to understand: https://t.co/TgWNXFrCfv— Learning SPARQL (@LearningSPARQL) September 29, 2020
Klaus Illmayer on Twitter
Everything you always wanted to know but never dared to ask about #knowledgeGraphs:On Oct. 27, 2020, our new free online course "Knowledge Graphs" with @lysander07 and @em_alam will start on the @openHPI platform. Register now at https://t.co/UA9XxTOO3O pic.twitter.com/V6YGkV5Pu4— Harald Sack (@lysander07) September 12, 2020
Kelvin Lawrence on Twitter
Lots of very good material here. Covers a lot of ground including Amazon Neptune, performance tuning, data modeling, common use cases and also some @apachetinkerpop Gremlin and @w3c RDF tutorials. https://t.co/3gdcKcNHiT— Kelvin Lawrence (@gfxman) October 1, 2020
James Le on Twitter
https://t.co/kSTvjW2oBv Such a thoughtful article on #knowledgegraphs! @TDataScience pic.twitter.com/BphubNoYwv— James Le (@le_james94) October 1, 2020
Anthony J. Algmin on Twitter
This current issue of https://t.co/iSEn2yvLfR covers #datagovernance #dataestate #data's #gendergap #datacatalog #dataestate #knowledgegraphs #DMP ... more. New content from @RSeiner @MandySeiner @AJAlgmin Polikoff of @TopQuadrant Beechum and @HBKI71. https://t.co/EEuVW3g7SG pic.twitter.com/sIL7KvLiJp— TDAN (@TDAN_com) October 1, 2020
Marco Neumann on Twitter
In case you missed it, the recording of last week's #Lotico session on JSON-LD is now available. https://t.co/Pzlyjh2S89. #jsonld cc/@neumarcx— Gregg Kellogg (@Gkellogg) October 1, 2020
TigerGraph Unveils Free TigerGraph Enterprise Edition, Helping Companies Use Graph as the Foundation of Many Modern Data, Analytics and AI Capabilities
𝖱uud Steltenp∞l ❤️🤔🔗📊,💾🌳,🚲🌍,👨👩👧👧 on Twitter
Adrian Suciu on Twitter
Happy to announce that my @OReillyMedia book Semantic Modeling for Data is now published https://t.co/4yngwDPMrO and available in electronic and print format https://t.co/VsFc8zf2KY. Get a free sample chapter at https://t.co/DivwADNUGo #datascience #datamodeling #knowledgegraphs pic.twitter.com/9j58IF1lcZ— Panos Alexopoulos (@PAlexop) September 9, 2020
Edge properties, part 1: Reification
W3C LBD CG meets … – Selected Topics on Linked Data, Semantic Web and Graph Technologies in the Built Environment
Aaron Bradley on Twitter
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings - Andreea Iana, @heikopaulheim https://t.co/ZlN50kgXrk— Aaron Bradley (@aaranged) September 2, 2020
WikiResearch on Twitter
Our #Yahoo! Knowledge Graph version of #Wikipedia entity embedding is now publicly available. This will be the version we use to trigger the related entity search for knowledge panels in Yahoo! Search, try it if you need general entity embedding in any task. @wikiworkshop https://t.co/eB9H6ai2zI— Chien-Chun Ni (@saibalmars) September 2, 2020
WikiResearch on Twitter
"VisualSem: a high-quality knowledge graph for vision & language", based on #Babelnet and #Wikipedia(Alberts et al, 2020)https://t.co/mWNh7QxXpZ@claravania#NLProc #ComputerVision pic.twitter.com/s8bGn6MAdV— WikiResearch (@WikiResearch) September 3, 2020