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[Strategies for pre-training graph neural networks](https://arxiv.org/abs/1905.12265)
```bib
@article{hu2019strategies,
title={Strategies for pre-training graph neural networks},
author={Hu, W…
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Self-Compressing Neural Networks is dynamic quantization-aware training that puts the size of the model in the loss
Paper: https://arxiv.org/pdf/2301.13142
Code: https://github.com/geohot/ai-noteb…
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Greetings Patrick,
I was wondering, what are your thoughts when it comes to Graph Neural Networks? Would a GNNlayer be implemented as a module for Equinox or an advanced example for the documentati…
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## 레퍼런스 논문
1. Graph Clustering with Graph Neural Networks (DMoN)
- paper : [https://arxiv.org/abs/2006.16904](https://arxiv.org/abs/2006.16904)
- code : [https://github.com/google-research/go…
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https://arxiv.org/abs/2409.19096
```bib
@article{sirohi2024enhancing,
title={Enhancing Robustness of Graph Neural Networks through p-Laplacian},
author={Sirohi, Anuj Kumar and Halder, Subhanu …
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## materials
1. Introduction: Artificial Intelligence Systems, Intelligent agents
2. Basic Theory of Probabilistic Reasoning
3. Fuzzy Logic 1: Definition of fuzzy logic, getting to know the differe…
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Develop a Python script using TensorFlow or Keras to generate unique artwork using neural networks. The tool should allow users to customize art styles, colors, and patterns.
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# Post-variational quantum neural networks | PennyLane Demos
Learn about post-variational quantum neural networks
[https://pennylane.ai/qml/demos/tutorial_post-variational_quantum_neural_networks/](…
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[Adversarial label-flipping attack and defense for graph neural networks](https://ieeexplore.ieee.org/abstract/document/9338299/)
[Adversarial_Label-Flipping_Attack_and_Defense_for_Graph_Neural_Netwo…
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https://arxiv.org/pdf/2207.08200
this paper provides a different way to optimize the priors using distance aware priors.
Maybe i can try to implement it.