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Hi,
This is an excellent book to learn and practice Deep Learning. I have seen Attention, GANs, NLP, etc. but GNNs are not covered in the book. Will be included?
Best.
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![image](https://github.com/user-attachments/assets/a51b0829-aed1-4215-a3be-256ff5eb73af)
![image](https://github.com/user-attachments/assets/9355b701-64a0-4922-83a9-8e44fb80f7b7)
![image](https:/…
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Hi!When I run the code, I get the following error, I checked that the data is on the cpu, but I'm not sure if it's a problem with HDN.py?
Traceback (most recent call last):
File "C:/Users/75172/…
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Hi,
I apologize if my question is naive. However, I have a simple example that I want to implement:
5 Computers in a network, each has a vector of only two features `f = [CPU, RAM]`.
Each computer …
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Could you provide an example that shows how to perform reinforcement learning with the Graph Convolutions or Graph Attention?
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### 🐛 Describe the bug
is there a way to use to_hetero(model, metadata(), aggr='sum') and convert the model to torchscript?
I tried the following code, it does not work.
```python
import torc…
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Research on how to generate the heterogeneous graph and use it to generate graph embeddings and use them as the encoding part and decoding part.
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Hi @omri1348, thank you for the insightful work! I was interested in the LRGA module for batches of graphs, e.g. for working with Benchmarking-GNNs datasets in DGL. Have you released the code/have any…
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Why not use nodes to create the gnn layer, but instead use edges.
`
self.gnn_layers = nn.ModuleList([
GNNLayer(input_dim, dim, inter_dim=dim+embed_dim, heads=1) for i in range(edge_se…
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Removal happened under #443 under `Dockerfile.release` -> starting from memgraph v2.21, the modules should start working (fix done under https://github.com/memgraph/memgraph/pull/2347) -> revert the c…