@PyG_Team

Graph Neural Network Library for PyTorch

pyg.org
Joined May 2022
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📢 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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📢 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_… 🧵 A thread [1/6]
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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_… A thread 🧵 [1/5]

Release PyG 2.4.0: Model compilation, on-disk datasets, hierarchical sampling · pyg-team/pytorch_...

We are excited to announce the release of PyG 2.4 🎉🎉🎉 Highlights Breaking Changes Deprecations Features Bugfixes Changes Full Changelog PyG 2.4 is the culmination of work from 62 contributors...

github.com
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#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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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…

fastgraphml: A Low-code framework to accelerate the Graph Machine Learning model development...

Democratizing Graph Machine Learning with Low-code

towardsdatascience.com
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A great shortcut for building a recommender system with the latest in #GraphLearning hubs.ly/Q01QLbFr0
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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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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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Great blog on how Kumo and the predictive power of GNNs can power chat bots to be more effective and rooted in the future state of your customers: kumo.ai/ns-newsarticle-lever…
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If you missed our London GNN meet-up, you can watch the recording of our talks on GNNs here: info.kumo.ai/amplify-your-gn…
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Our PyG-Graphcore collaboration is now live on our site - read more about enabling GNNs on IPUs here: pyg.org/ns-newsarticle-graph…
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Latest PyG community sprint expands explainability capabilities. Read more from Kumo core team member @BlazStojanovic here hubs.ly/Q01BdHQg0
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Our CEO and founder Vanja and our PyG community lead Ivaylo talk about the long term vision for the data-driven enterprise: kumo.ai/ns-newsarticle-kumoa…
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The PyG community newsletter is out! To be a part of all the community updates, blog posts, tutorials, and to stay up to date on all things graph learning, you can subscribe directly using this form: eepurl.com/idfsIT
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A map of over 7000 attendees from all over the world to the the Stanford Graph Learning workshop. Thank you all the speakers and attendees who made this event successful! snap.stanford.edu/graphlearn… Video: youtu.be/GYW286H3SKw @PyG_Team
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