Tiny overfitting planets 🪐🌎 Even overfitting can be beautiful ❤️ #GraphML #MachineLearning

From 🍇 V 0.1.19, we integrated Bioregistry ❤️ in the graph retrieval, which includes all of the OBO Foundry #KnowledgeGraph made available by J. Harry Caufield's KGOBO! 🚄 Just enable the flag, and you are set to go!

Introducing #slurm across 🍇 #GraphML evaluation pipelines to make 🧪 happen faster! We thank Peter Robinson & Lauren Rekerle for testing it on The Jackson Laboratory's #HPC! ❤️ 💻:github.com/AnacletoLAB/gr…

🎥>>🗣️ #7: justaddcoffee's KGCOVID19 node & edge labels + properties, embedded using First-order LINE ⚡

🎥>>🗣️ #8: Mikaela Koutrouli's FAVA functional association networks, embedded using Bryan Perozzi's DeepWalk + SkipGram with Right Laplacian sampling by Luca Cappelletti & Tommaso Fontana Done in ~2m on my desktop! ⚡ The edge prediction looks excellent (holdout 70/30)! ❤️

You can now use 🍇 to compute HPO pairwise Philip Resnik scores, ~270M, on your notebook in about 1 second ⚡

Pushing the ✉️ of 🍇's Philip Resnik score implementation by computing 3T, i.e. 3*10^12, scores from NCBI Taxonomy (2438821 nodes) upper triangular matrix. This is heavily parallelized and takes ≈3h on a 💻 with 8GBs of RAM and 96 cores.

I've been asked how to use 🍇 to run and visualize PyKEEN's implementation of Maximilian Nickel's HolE model, so here's the one-liner!

Woohoo! #GRAPE just hit 100 stars on GitHub! Thank you to all the amazing developers who have supported our graph representation learning library. We couldn't have done it without you! 🍇💜🍇 #opensource #machinelearning