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Causality and (Graph) Neural Networks

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DeepFindr

▬▬ Resources/Papers ▬▬▬▬▬▬▬
Causality Introduction:
https://www.inference.vc/untitled/
https://www.causalflows.com/structura...
https://towardsdatascience.com/causal...
https://developpaper.com/causalinfer...
https://changliu00.github.io/static/c...
Causal Discovery:
https://towardsdatascience.com/causal...
Books (these are affiliate links):
Book of Why: https://amzn.to/3xxjROc
Causal Inference: https://amzn.to/3H428Rk

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All Icons are from flaticon: https://www.flaticon.com/authors/freepik

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from Uppbeat (free for Creators!):
https://uppbeat.io/t/mountaineer/doubts
License code: QKVNF1BODEDX33HO

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:20 Causal Inference Basics
08:32 Recommended Resources
08:46 Connecting Neural Networks with Structural Causal Models
10:53 GNNs and SCMs
14:36 More Research with Causality


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posted by Kvildash