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Hi
I have pytorch model composed of Lstm layer followed by fc and another softmax layer.
I have some code same, takes sequence of length 341 and give one classes from {1,2,3} the model take batc…
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## ❓ Questions and Help
Hi,
I have one model tat I train five different times using different seed each times. I trained all the models using the exact same train, val, and test splits. The five…
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Hi, i am not able to understand from the documentation if it is possible to compute relevance score (e.g DeepLift relevance) of each network layer using a single backward pass. It seems that you can o…
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https://mp.weixin.qq.com/s/v4sRjmpXOkW0sxlEntu7Kg
ixxmu updated
2 years ago
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When I try to run the [DeepLift tutorial](https://github.com/divelab/DIG/blob/dig/examples/xgraph/deeplift.ipynb) or the [GNN-LRP tutorial](https://github.com/divelab/DIG/blob/dig/examples/xgraph/gnn_…
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X.shape
`torch.Size([250])`
model
```
MyModel(
(model): Sequential(
(l1): Linear(in_features=250, out_features=700, bias=True)
(relu1): ReLU()
(l2): Linear(in_features=700, out…
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- [x] How to run it?
- [x] Do they work on our data? (or can we replicate author's results?)
- [x] How can we implement it into Dianna?
Either images or text or both.
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Hi,
I'm trying to use SubgraphX for Graph Classification task.
I loaded the Tox21 dataset and model/checkpoints using the first 3 cells in the [DeepLift example](https://github.com/divelab/DIG/blo…
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# Issue
- Essentially, on every run of .attribute() and .visualize_image_attr() for GradientShap, a completely different attribution is produced.
- Unlike DeepLift/DeepLiftShap for which the attrib…