Articles
What is persistent homology?
A conceptual introduction to persistent homology and topological data science.
Orbifold B.V.
Leuven, Belgium (Europe)
info@orbifold.net
orbifold.net
Large scale graph layout (with edge bundling), network visualizations and #dataviz on GPU thanks to @datashader. Perfectly complementing @RAPIDSai. https://t.co/mijYt1Lc1B https://t.co/hzf9moEIwU
AuraDS, the @neo4j data science stack in the cloud is in preview. https://t.co/9BWY7t7kJh #GraphDatabase https://t.co/d79x4UlhYp
A semantic graph database on top of #Blockchain, yes you can. Fluree is a crypto-secure immutable graph database with cloud-native architecture. Open source 😳https://t.co/BGj2Ha9VPj @FlureePBC #GraphDatabase https://t.co/Ulv956lFk4
Frictionless, innovative graph applications, graph visualization and graph analytics with Memgraph. https://t.co/bj5KooRPme @memgraphdb #GraphAnalytics #GraphDB https://t.co/WjqXAKgYJu
Not the usual intro to graph representation learning by Michael Bronstein @mmbronstein, Love the big picture, the graphics and low-tech story-telling. https://t.co/ppVJQp1XUr #geometricdeeplearning https://t.co/AoNxSgeF6f
Latest @neo4j graph library introduces "Link Prediction Pipelines". Democratizes graph machine learning but for heterogenous data and other subtleties you'll still need @stellargraph_io or #PytorchGeometric. https://t.co/tbwOf253M3 #graphneuralnetworks #knowledgegraphs https://t.co/qcoEqzXmCV
Deep Learning’s Diminishing Returns: how the financial cost increases exponentially when trying to improve a model just a little bit. Same as in elementary particle physics. https://t.co/TTJZMGrYcL #machinelearning https://t.co/kzltWiXEfi