Articles
Graph Machine Learning using TensorFlow
An intro to TensorFlow Neural Structured Learning (NSL) as a comparison to frameworks like StellarGraph.
Orbifold B.V.
Leuven, Belgium (Europe)
info@orbifold.net
orbifold.net
Kudos 🙋to the @wallabyjs team for a terrific tool. Saves so much time. Way to go.
yFiles v2.4 by @yworks is out and boasts massive visualizations into the millions using WebGL. Improved developer experience and automatic layout makes it an exciting new release and a great foundation for all your graph visualization needs. https://t.co/IaH2Tgm80J #diagramming https://t.co/yOcRFg72nA
Thanks to WebAssemblies you can run JupyterLab in your browser. Absolutely awesome, the never-ending ascent of browsers and #JavaScript. #JupyterLite
https://t.co/omiYB1fxrr https://t.co/kzihMMZSem
https://t.co/omiYB1fxrr https://t.co/kzihMMZSem
Stunning graph layout performance from Ogma by @Linkurious: 31K nodes and 40K edges in around a minute. Not even WebGL and still fully interactive. https://t.co/wp8EM88dxw
Announcing the official Neo4j GraphQL Library. @neo4j https://t.co/nDLAQDoRO8 https://t.co/qDmFYQxOw9
Kudos to @theaisummer for the excellent into on how Graph Neural Networks (GNN) work. An introduction to graph convolutions from scratch. https://t.co/4HVm7WY8BX #GraphMachineLearning https://t.co/viUlUA02Az
Why has nobody integrated graph embedding algorithms into graph visualization yet? JavaScript Node2Vec or GNN predictions realtime while creating diagrams. Automatic labeling while drawing. Anyone? #GraphRepresentationLearning #Diagramming