Graph Learning | MLOps (@chipro) | Page 1

topaz notch Sep 28, 2022, 9:49 PM

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I've been watching the Stanford Graph Learning Workshop livestream https://youtu.be/GYW286H3SKw
And I want to teach myself GNNs, what resources are there available?

YouTube

Stanford CS Affiliates

Stanford Graph Learning Workshop 2022

▶ Play video

dense tundra Sep 29, 2022, 4:31 AM

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https://medium.com/stanford-cs224w

Medium

Stanford CS224W GraphML Tutorials – Medium

Tutorials of machine learning on graphs using PyG. Edited by Federico Reyes Gomez.

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https://ogb.stanford.edu/neurips2022/

Open Graph Benchmark

OGB-LSC @ NeurIPS 2022

Why 2nd OGB-LSC? Machine learning (ML) over large-scale graph data (e.g., graphs with billions of edges) has a huge impact. At KDD Cup 2021, we organized the 1st OGB Large-Scale Challenge (OGB-LSC), where we provided large and realistic graph ML tasks. Our KDD Cup attracted huge attention from graph ML community (more than 500 team registrations...

topaz notch Sep 29, 2022, 5:19 AM

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These are awesome tutorials! Thank you!

blazing frigate Sep 30, 2022, 7:39 PM

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I listened to that livestream on Wednesday since work was ok with it. I thought it was great! Be sure to check out the YouTube playlist.

https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn

YouTube

Stanford CS224W: Machine Learning with Graphs

This course covers important research on the structure and analysis of such large social and information networks and on models and algorithms that abstract ...

verbal junco Oct 2, 2022, 11:03 PM

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topaz notch I've been watching the Stanford Graph Learning Workshop livestream https://youtu...

Stanford graphs class is great.

topaz notch Oct 17, 2022, 5:17 PM

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I've been attending a lecture series that over my head but you all might find interesting. https://youtu.be/jU7KyZn_hBc

YouTube

Pim de Haan

Categories for AI - Seminar 2: Essential building blocks: Categorie...

Motivated by the recent emergence of category theory in machine learning, we teach a course on its philosophy, applications and outlook from the perspective of machine learning!
Sign up for the course at: https://cats.for.ai/

In the second seminar, you will:

Understand the key building blocks of categories: objects, morphisms and functors.
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▶ Play video

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The paper mentioned in the lecture https://arxiv.org/pdf/2203.15544.pdf

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The Github mentioned in the Q and A section https://github.com/deepmind/clrs

GitHub

GitHub - deepmind/clrs

Contribute to deepmind/clrs development by creating an account on GitHub.

#Graph Learning