---
title: "Discussion on \"Applying Graph Neural Networks for Better Image Classification\" | Hashnode"
description: "Discussion on \"Applying Graph Neural Networks for Better Image Classification\". Learn how to leverage Graph Neural Networks (GNNs) to enhance image classification with better spatial understanding and improved performance"
url: "https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d"
---

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# [Applying Graph Neural Networks for Better Image Classification](https://alexisvannson.hashnode.dev/applying-graph-neural-networks-for-better-image-classification?utm_source=hashnode&utm_medium=feed)

Learn how to leverage Graph Neural Networks (GNNs) to enhance image classification with better spatial understanding and improved performance

Sep 28, 2024 · 6 min read · alexisvannson.hashnode.dev  
Updated Oct 7, 2024  
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-   [#graph-neural-network](https://hashnode.com/tag/graph-neural-network)
-   [#image-classification](https://hashnode.com/tag/image-classification)
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## Written by

[Alexis VANNSON](https://hashnode.com/@alexisvannson)

@alexisvannson · Paris

  
[View profile](https://hashnode.com/@alexisvannson)

I document my journey learning machine learning

## Responses 4

Markdown supported · ⌘↵ to post

[klement Gunndu](https://hashnode.com/@klementgunnduai)

[Feb 27](https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d/comment/69a0f4ec4bb8a8e57a21c577)

The global pooling step you describe is where a lot of the expressiveness gets compressed — one thing worth experimenting with is differentiable pooling (DiffPool) instead of mean/max global pooling when the graph structure varies significantly across images. The message passing improvement over CNN feature maps tends to show the most gain on images with irregular spatial structure, like satellite imagery or medical scans, where the grid assumption of convolutions is the weakest.

[花村日向](https://hashnode.com/@hanamurahinata)

[Jul 11, 2025](https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d/comment/6870b19ab72bac0725e5b798)

GNNを画像分類に応用するアイデア、とても興味深いです！今後の応用分野がますます広がりそうですね。

[yyypsycheguy](https://hashnode.com/@YiwenMai)

[Sep 29, 2024](https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d/comment/66f9c8e0c3d46a102d339a7c)

Nice would it be possible to elaborate on the node message passing formula and how the rbg value is combined into a node value?

[Alexis VANNSON](https://hashnode.com/@alexisvannson)

[Sep 29, 2024](https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d/comment/66f9c8e0c3d46a102d339a7c#reply-66f9d01fed8f8daaf05db035)

Thanks for the comment, I'll incorporate that

[William Peltier](https://hashnode.com/@williampltr)

[Sep 29, 2024](https://hashnode.com/posts/applying-graph-neural-networks-for-better-image-classification/66f97d6e75045d114c08909d/comment/66f9951f54e2689b6b9f6938)

Thanks a lot ! This was so helpfull to understand how AI works ! It's mind-blowing 🚀