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Graph Neural Network Library for PyTorch

Joined May 2022
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@PyG_Team
PyG
@PyG_Team
1 year
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 👇.
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@PyG_Team
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@PyG_Team
1 year
RT @rusty1s: 📢 We are hosting a webinar on March 6th 8am PT/5pm CET on the latest PyG release. The webinar covers everything you need to kn….
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@PyG_Team
PyG
@PyG_Team
1 year
RT @rusty1s: 📢 Excited to release PyG (PyTorch Geometric) v2.5, including distributed training, a dedicated graph tensor representation, Re….
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@PyG_Team
PyG
@PyG_Team
2 years
RT @rusty1s: We just released PyG 2.4 🎉, including PyTorch 2.1 support, model compilation, on-disk datasets, neighbor sampling improvements….
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@PyG_Team
PyG
@PyG_Team
2 years
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.
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@PyG_Team
PyG
@PyG_Team
2 years
Our next Webinar is on July 18th! Come learn about how GNNs can power growth and retention. Register here:
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@PyG_Team
PyG
@PyG_Team
2 years
RT @Kumo_ai_team: #AI powered personalization is becoming a realization engine for what users truly want in a world of unlimited choices.….
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@PyG_Team
PyG
@PyG_Team
2 years
RT @Kumo_ai_team: Great post from the arango team on fastgraphml sharing their low code framework for performing ML on graphs:. https://t.co….
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@PyG_Team
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@PyG_Team
2 years
RT @Kumo_ai_team: A great shortcut for building a recommender system with the latest in #GraphLearning.
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@PyG_Team
PyG
@PyG_Team
2 years
RT @Kumo_ai_team: Recording of our latest webinar on link prediction for recommendation and ranking is now live!.Watch it here: https://t.c….
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@PyG_Team
PyG
@PyG_Team
2 years
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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@PyG_Team
PyG
@PyG_Team
2 years
Great blog post from the KĂązu team (Chang Liu and @semihsalihoglu) showing how they use the PyG Remote Backend to scale GNN models with one line of code!.
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@PyG_Team
PyG
@PyG_Team
2 years
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:
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@PyG_Team
PyG
@PyG_Team
2 years
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.
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@PyG_Team
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@PyG_Team
2 years
Our next town hall is 5/25 - we'll hear from the Weights & Biases team on their work in point cloud segmentations:.
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@PyG_Team
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@PyG_Team
2 years
We have a new initiative allowing more folks to be core contributors! Interested in learning more? Check out our page!.
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@PyG_Team
PyG
@PyG_Team
2 years
PyG Town Hall is tomorrow 10am PDT! Tune in to learn about how to leverage IPUs for training GNNs. You can register here:
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@PyG_Team
PyG
@PyG_Team
2 years
RT @jure: Register for our next webinar on link prediction! Learn more about how to build and scale link prediction for production use case….
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@PyG_Team
PyG
@PyG_Team
2 years
our recording for the webinar is now live! You can watch here:
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@PyG_Team
PyG
@PyG_Team
2 years
Join us in 30 mins for our explainability webinar!.Register here:
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