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Learning SPARQL on Twitter
Learning SPARQL on Twitter
160 SPARQL endpoints, indexing of stuff in GitHub repositories: interesting work by Vincent Emonet at @UM_IDS: https://t.co/6Jh93YEvRP (file PRs for missing resources here: https://t.co/M5d94NgIrn)— Egon Willighⓐgen (@egonwillighagen) February 27, 2021
·twitter.com·
Learning SPARQL on Twitter
From Knowledge Graphs to Knowledge Workflows | Diffblog
From Knowledge Graphs to Knowledge Workflows | Diffblog
2020 Was The “Year of the Knowledge Graph” 2020 was undeniably the “Year of the Knowledge Graph.” 2020 was the year that Gartner put Knowledge Graphs at the peak of its hype cycle. It was the year where 10% of the papers published at EMNLP referenced “knowledge” in their titles. It was the year over […]
·blog.diffbot.com·
From Knowledge Graphs to Knowledge Workflows | Diffblog
Aaron Bradley on Twitter
Aaron Bradley on Twitter
Interactively Constructing Knowledge Graphs from Messy User-Generated Spreadsheets / Markus Schröder et al. @DFKI https://t.co/XQ6ZNbOm6z pic.twitter.com/lkMnLGka4L— Aaron Bradley (@aaranged) March 8, 2021
·twitter.com·
Aaron Bradley on Twitter
Dan Brickley on Twitter
Dan Brickley on Twitter
https://t.co/ooIuC1elTy version 12 is out - thanks to all who collaborated on this! https://t.co/rCzFkiwbBo has the details. In this edition https://t.co/ooIuC1elTy can now distinguish 6 kind of media-authenticity problem for reviewing images and videos; ... pic.twitter.com/a6yZv0ayDR— Dan Brickley (@danbri) March 8, 2021
·twitter.com·
Dan Brickley on Twitter
AKSW on Twitter
AKSW on Twitter
New @orkg_org release today featuring a new contribution editor, where you can directly add a comparison table to capture the state-of-the-art for a particular research problem: https://t.co/nhZ7Gjzilh pic.twitter.com/MJmLp9bvIi— Sören Auer (@SoerenAuer) March 8, 2021
·twitter.com·
AKSW on Twitter
Learning SPARQL on Twitter
Learning SPARQL on Twitter
“This library provides a prolog interface to SPARQL queries. It allows logic program queries to be compiled to SPARQL, and then executed on a remote SPARQL server.” https://t.co/3YaKL1AJkq— Learning SPARQL (@LearningSPARQL) March 8, 2021
·twitter.com·
Learning SPARQL on Twitter
three videos about deep learning on graphs
three videos about deep learning on graphs
GNN is the new hype but revisiting deep learning applied to graphs is a great opportunity to learn some fundamental concepts in machine learning: language...
·linkedin.com·
three videos about deep learning on graphs
Graph Networks in 2020 - YouTube
Graph Networks in 2020 - YouTube
Graph Networks are extremely useful tools to help understand the graph data that's all around us. In this episode, I'm going to explain what some of the latest advancements in graph networks are and how you can leverage them to build your own graph network in a few lines of Python code. This space has matured so much that there is never a single library to discuss, there are always multiple competing options (which is a great thing). We'll be weighing the pros and cons of the Deep Graph, Graph Nets, and PyTorch Geometric library as well. I'm particularly interested in Graph Networks because...
·youtube.com·
Graph Networks in 2020 - YouTube