🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Join us in 30 mins for our explainability webinar! Register here: hubs.ly/Q01K3Jbq0

our recording for the webinar is now live! You can watch here: info.kumo.ai/hubfs/Explaina…

Register for our next webinar on link prediction! Learn more about how to build and scale link prediction for production use cases. info.kumo.ai/link-predictio…

PyG Town Hall is tomorrow 10am PDT! Tune in to learn about how to leverage IPUs for training GNNs. You can register here: hubs.ly/Q01LnpxF0

We have a new initiative allowing more folks to be core contributors! Interested in learning more? Check out our page! pyg.org/become-a-core-…

Our next town hall is 5/25 - we'll hear from the Weights & Biases team on their work in point cloud segmentations: info.kumo.ai/deep-learning-…

NVIDIA RAPIDS has just released their blog on training GNNs with cuGraph-PyG, an extension to PyG that enables large-scale training on trillion-edge graphs.  This is the first in a series that will cover scaling PyG GNNs to massive-scale graphs medium.com/rapids-ai/intr…

Link prediction webinar is tomorrow - 5/16 at 10 PST! Tune in to learn more about how to build and scale link prediction with GNNs! Register here: info.kumo.ai/link-predictio…

Great blog post from the Kùzu team (Chang Liu and Semih Salihoğlu) showing how they use the PyG Remote Backend to scale GNN models with one line of code! kuzudb.com/blog/kuzu-pyg-…

For anyone interested in learning more about graph learning for specific use cases, make sure to follow Kumo ! We'll be sharing many new application-specific experiences with GNNs there in the coming weeks!

A great shortcut for building a recommender system with the latest in #GraphLearning hubs.ly/Q01QLbFr0

Recording of our latest webinar on link prediction for recommendation and ranking is now live! Watch it here: info.kumo.ai/link-predictio… #gnn #pyg #personalization #recommendation

Great post from the arango team on fastgraphml sharing their low code framework for performing ML on graphs: towardsdatascience.com/fastgraphml-a-… fastgraphml GitHub link: github.com/arangoml/fastg…

#AI powered personalization is becoming a realization engine for what users truly want in a world of unlimited choices. hubs.ly/Q01WMV4s0

Our next Webinar is on July 18th! Come learn about how GNNs can power growth and retention. Register here: info.kumo.ai/powering-growt…

PyG Town Hall one week from today! Join us as we discuss how to run graphML locally in just a few lines of code w the ArangoDB team info.kumo.ai/pyg-town-hall-…

We just released PyG 2.4 🎉, including PyTorch 2.1 support, model compilation, on-disk datasets, neighbor sampling improvements, and much more. Thanks to 62 contributors who have made this release possible. Full release notes 👇 github.com/pyg-team/pytor… A thread 🧵 [1/5]

📢 Excited to release PyG (PyTorch Geometric) v2.5, including distributed training, a dedicated graph tensor representation, RecSys support, PyTorch 2.2 and native compilation support 🎉 Release Notes 👇 github.com/pyg-team/pytor… 🧵 A thread [1/6]

📢 We are hosting a webinar on March 6th 8am PT/5pm CET on the latest PyG release. The webinar covers everything you need to know about PyG 2.5, including a live demo on how set up and use our new distributed GNN training solution. Register for free 👇 eventbrite.com/e/webinar-pyg-…

Don't miss out on our Webinar on PyG 2.5 - Distributed Training of GNNs tomorrow! 🗓️Wednesday, Mar 6th🕔5pm CET/ 8am PST Register for free 👇 eventbrite.com/e/webinar-pyg-…