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I spoke to @tompollard who is the core maintainer of https://github.com/carpentries-incubator/machine-learning-neural-python.
That lesson takes a different angle to deep learning, focusing on comp…
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[Adversarial Robustness of Graph Neural Networks](https://mediatum.ub.tum.de/1641938)
```bib
@phdthesis{zugner2022adversarial,
title={Adversarial Robustness of Graph Neural Networks},
author={…
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[𝑝-Laplacian Based Graph Neural Networks](https://proceedings.mlr.press/v162/fu22e.html)
```bib
@inproceedings{fu2022p,
title={$ p $-Laplacian Based Graph Neural Networks},
author={Fu, Guoji a…
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Graph neural networks are a popular choice for forecasting hierarchically structured panels, graph structured panels, or structured variable settings, e.g., energy networks with time series observed a…
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+ Read slides [26v4e](https://osf.io/26v4e), [42tq9](https://osf.io/42tq9), [3ksmu](https://osf.io/3ksmu)
+ Obtain access to references given in the slide.
+ Report here with your ID and name.
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[Graph neural networks with diverse spectral filtering](https://dl.acm.org/doi/abs/10.1145/3543507.3583324)
```bib
@inproceedings{guo2023graph,
title={Graph neural networks with diverse spectral …
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1. **Grokking Deep Learning**
https://edu.anarcho-copy.org/Algorithm/grokking-deep-learning.pdf
2. **Deep Learning - Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe**
P…
Eteiz updated
1 month ago
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We would like to edit the `Convolutional Neural Networks` concept entry under AI.…
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[Spectral adversarial training for robust graph neural network](https://ieeexplore.ieee.org/abstract/document/9950609/)
```bib
@article{li2022spectral,
title={Spectral adversarial training for ro…
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[Robust graph neural networks using weighted graph laplacian](https://arxiv.org/abs/2208.01853)
```bib
@article{runwal2022robust,
title={Robust graph neural networks using weighted graph laplac…