Causality and (Graph) Neural Networks

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▬▬ Resources/Papers ▬▬▬▬▬▬▬
Causality Introduction:
Causal Discovery:
Books (these are affiliate links):

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▬▬ 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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▬▬ My equipment 💻
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  2. Causal Inference
  3. Graph Neural Networks
  4. Causal Discovery
  5. Neural Causal Models
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Комментарии
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The background information on causality was succinct and well put. Thank you!

taranbarber
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Great lecture! Investigation of the combination of GNN and SVM may be promising in future research. Moreover, employing the technique to reinforce learning should also be interesting as it can introduce explainability to the black-box model.

qiguosun
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The contents you are creating are great!, keep them on

munozariasjm
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Love the content - especially the clarity and simple summary! Can you do a tutorial of a project using causal GNN framework? Can the GNN model first identify causal relationship? Then secondly, using that to create link between the node. Finally using GNN to predict an attribute of the nodes?

jenw
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Causality can be biased in at least three ways: omitted variable, selection bias, reverse causality. Which one does GNN address?

jordoobodi
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Your Content is Super Amazing. I have a Kind Request. Can you please do a tutorial on Community Detection? That would be really helpful.

zuu
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Is there any plan to publish a code tutorial?

zhuangzhuanghe
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I wonder if there is anything like more mainstream linear causality models like IV regression, difference in difference or regression discontinuity design with machine learning methods to incorporate nonlinearity in high dimensions.

yangbai
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Hey, A quick question; would it be possible for you upload a video on crime forecasting using GNNs? There are practically no videos on YouTube, we'll able to learn a lot especially about the MAPPING THE LOCATION DATA in a real world scenario! Datasets are already available online!

buddhidhananjaya