TigerGraph unveiled a new tool that provides users with a dedicated, open source environment for building machine learning models with graph databases.

Can Machine Learning Do Symbolic Manipulation?  I spent some time over the holidays engaged in a fascinating online conversation. The gist of it was a variation of an argument that has been going on in the realm of artificial intelligence from the time of Minsky and Seymour Papert: Whether it is possible for neural networks to… Read More »DSC Weekly Digest 04 Jan 2022: Can Machine Learning Do Symbolic Manipulation?

Last week Google added Graph Neural Network support to TensorFlow. This comes in the wake of PyTorch Geometric getting a lot of support from Meta (formerly...

Papers With Code highlights trending Machine Learning research and the code to implement it.

Open Source Tool - Cybersecurity Graph Database in Neo4j - GitHub - amberzovitis/GraphKer: Open Source Tool - Cybersecurity Graph Database in Neo4j

With organizations struggling to manage growing amounts of data, Gartner predicts adoption of graph technology will increase exponentially by 2025.

Memgraph, the streaming graph application platform, today announced Memgraph 2.0, the public launch of its source-available platform, which makes it easy

The Data Exchange Podcast: Paco Nathan on recent trends in large-scale graph technologies and novel applications of graph databases.

Very honored to have been invited by Jesús Barrasa Amy Hodler and Jim Webber to write the foreword for their book "Knowledge Graphs Data in Context for...

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