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readme is a little bit simple.
I just started learning about graph neural networks,so i want to run through you code then learn your paper.
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I am very interested in your research _Ensemble Manifold Regularized Multi-Modal Graph Convolutional Network for Cognitive Ability Prediction_, and _Integrated Brain Connectivity Analysis with fMRI, D…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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您好，最近在复现《The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study》中代码，看到您添加的infer1代码：
（1）请问infer.1模型是用来测试数据集故障类型吗？
（2）输出为1是代表该数据集为轻微磨损吗…
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Given the recent popularity of graph convolutional neural networks (i.e. https://github.com/tkipf/gcn), would it be worth implementing a swift paradigmatic version? I have a semi-working version, but …
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Hi, hope you are well.
I want to use GNNs for a drug discovery project I will be working on, I want to use an approach similar to this paper.
https://www.sciencedirect.com/science/article/pii/S00…
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# Gated Graph Sequence Neural Networks #
- Author: Yujia Li, Daniel Tarlow, Marc Brockschmidt, Richard Zemel
- Origin: https://arxiv.org/abs/1511.05493
- Related:
- https://github.com/Microsof…
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Opening this issue to track our usage of GNNs on USPT dataset.
Things to do: - Update this issue page with the details of the previous experiment running GNN embeddings using BNN.
Greetings Dr. …
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 months ago
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### Discussed in https://github.com/pyg-team/pytorch_geometric/discussions/3455
Originally posted by **akpas001** November 8, 2021
I need to train a Gnn based on the data of pre existing next…