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I want to implement the pytorch version of your work. But confused about the parameters of gcn layer. Can you introduce it with a formula or something?
Look forward to your reply.
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Is there a way to visualize a graph for larger convolutional neural networks? For larger ResNets `net_drawer` freezes, since I suppose the output files become rather large. Any ideas?
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### Objective
The goal of this issue is to implement a Graph Convolutional Neural Network (GCNs-Net) model for decoding time-resolved EEG motor imagery signals, as outlined in the paper "[GCNs-Net: A…
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https://github.com/Tiiiger/SGC official implementation for the paper "Simplifying Graph Convolutional Networks" on ICML 2019 by Wu, Felix and Souza, Amauri and Zhang, Tianyi and Fifty, Christopher and…
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I have an MNIST-like dataset for image classification using a Graph Convolutional Neural Network. Could you maybe suggest on how to make the adjacency matrix for such a dataset ?
It would be great…
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hello, I am trying to replicate GraphRAG Demo on Intel Arc GPU 770, But getting below issue :
I am facing issue wit mistral :
```
12:33:38,271 httpx INFO HTTP Request: POST http://localhost:11434…
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请问作者,`Joint Type Inference on Entities and Relations via Graph Convolutional Networks`中提出的模型在本仓库中是否有实现?
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### 🚀 The feature, motivation and pitch
- Paper: XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers
- This paper introduces XENet, a new graph…
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I'm trying to convert fully-convolutional network from TensorFlow to CoreML. In TensorFlow, the input can be an image of arbitrary size hence the initialization for Placeholder is as follows:
```py…
sndre updated
4 years ago
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Hi,
When I ran **shap_arr = explainer.shap_values(test_X)**, I got the error message:
RuntimeError: The size of tensor a (6998) must match the size of tensor b (3499) at non-singleton dimension 1…