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Hello, Do you know whether featGraph can support end-to-end graph attention networks (GATs) training? The paper did not mention it can support GAT, therefore, I am curious about it. Thank you.
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Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…
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# New Operator
Self Attention
### Describe the operator
Multi-headed attention is seeing prolific use in all transformers (mostly described in [pytorch](https://pytorch.org/docs/stable/generated/t…
dfiru updated
11 months ago
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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Hello author, I'm a student who interested in your works when reading Multi-hop Attention Graph Neural Networks
Can I get the information about the hardware that you train your model
I cloned your r…
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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…
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I would like to see the results of HierGAT.
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**Abstract:** The high-quality node embeddings learned from the Graph Neural Networks (GNNs) have been applied to a wide range of node-based applications and some of them have achieved state-of-th…
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the cora_adj.npy shows cora dataset have 5278 edges
but the detail of this dataset(https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering/blob/main/dataset/README.md)
shows this dataset hav…