Graph Neural Network Library for PyTorch
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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…
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PyG retweeted
📢 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…
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PyG retweeted
📢 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/pytorch_…
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PyG retweeted
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/pytorch_…
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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-g…
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Our next Webinar is on July 18th! Come learn about how GNNs can power growth and retention. Register here: info.kumo.ai/powering-growth…
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PyG retweeted
#AI powered personalization is becoming a realization engine for what users truly want in a world of unlimited choices.
hubs.ly/Q01WMV4s0
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PyG retweeted
Great post from the arango team on fastgraphml sharing their low code framework for performing ML on graphs:
towardsdatascience.com/fastg…
fastgraphml GitHub link: github.com/arangoml/fastgrap…
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PyG retweeted
A great shortcut for building a recommender system with the latest in #GraphLearning
hubs.ly/Q01QLbFr0
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PyG retweeted
Recording of our latest webinar on link prediction for recommendation and ranking is now live!
Watch it here: info.kumo.ai/link-prediction…
#gnn #pyg #personalization #recommendation
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For anyone interested in learning more about graph learning for specific use cases, make sure to follow @Kumo_ai_team ! We'll be sharing many new application-specific experiences with GNNs there in the coming weeks!
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Great blog post from the Kùzu team (Chang Liu and @semihsalihoglu) showing how they use the PyG Remote Backend to scale GNN models with one line of code!
kuzudb.com/blog/kuzu-pyg-rem…
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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-prediction…
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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/intro-t…
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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-o…
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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-contri…
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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
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PyG retweeted
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-prediction…
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our recording for the webinar is now live! You can watch here: info.kumo.ai/hubfs/Explainab…
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Join us in 30 mins for our explainability webinar!
Register here: hubs.ly/Q01K3Jbq0
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