A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification

Discover the top 5 graph analytics takeaways from Gartner's Data & Analytics Summit, from creating context to improving communication.

Stanford / Winter 2021

Hierarchical Graph Neural Networks - Over the recent years, Graph Neural Networks have become increasingly popular in network analytic and beyond. With...

Alan Morrison's answer: You’re not generating a graph as much as you are seeding, nurturing, harvesting and consuming one. You’re putting in place a cyclical, organic process to allow the graph to grow, become useful, evolve, thrive, and—ideally—marry up with other graphs, the combination of whic...

How simple structured data trumps clever machine learning

On the role of knowledge that is structured, explicit and intelligible in providing a path toward higher machine intelligence

Basic Introduction to what Graph Analytics is…

Although artificial intelligence capabilities are improving daily, it is not always easy to put the AI rubber on the road – especially when it comes to understanding AI’s contextual data and problem-solving approaches. How about bringing in some “real” intelligence? Graphs are a typically human way

A Knowledge Graph for the Agri-Food Sector @rapw3k https://t.co/Uko5uhcg2F— Aaron Bradley (@aaranged) February 1, 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

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

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

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources https://t.co/JsMcHN8Z6g pic.twitter.com/IxbRmK4ioo— Aaron Bradley (@aaranged) December 8, 2020

For the last few years, I have been promoting the idea of the Hardware Graph. My assertion was that graph hardware needs a focus on simple…

"Inrupt ... has launched its first enterprise-ready Solid servers for use by more than a dozen partners, including the NHS, the BBC and NatWest Bank." https://t.co/HcW0uWJjUZ— Aaron Bradley (@aaranged) November 10, 2020

Can’t wait to get my copies as well. This has been a long time in the works so glad it’s finally come to fruition. https://t.co/kput7PAJg1 https://t.co/yqMFwmjD92— Dave Bechberger (@bechbd) October 27, 2020

Speaking of personalized knowledge graphs....Knowledge Graphs to Empower Humanity-inspired AI Systems @hemant_pt, Valerie Shalin, @amit_p https://t.co/7gYiAxNHhU pic.twitter.com/bVccm8IxCK— Aaron Bradley (@aaranged) September 16, 2020

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

“How do you select a graph database? Learn how in @itworldca. Read here: https://t.co/Z529PWdeW6 | #GraphDatabase #GraphDB #GraphAnalytics #DataScience #Developer #Analytics #BigData”

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

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

CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/BU9uoGXmIc— AtomGraph (@atomgraphhq) July 2, 2019

GPU->Rapids->Cugraph->Scalable Graph Analytics

Today we want to make this available in a first release under an Apache License for you to try out and test. It works with Neo4j from 3.4.x

Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.

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