Comments (1)
hnaik
commented on July 30, 2024
2
If you scroll down to the bottom of the top-level README.md page, you'll see a table with hyperlinks. You should be able to click on the link, download the dataset, and unzip them inside your data/ directory. It should all just work.
For example, if you want to run the experiment for Mutagenicity
- Go to https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets (as listed in the table)
- Search for
Mutagenicityon that page, which should allow you to download the data files from https://ls11-www.cs.tu-dortmund.de/people/morris/graphkerneldatasets/Mutagenicity.zip - Unzip it inside your
data/directory - Run
$ PYTHONPATH=. python train.py --bmname=Mutagenicity
from gnn-model-explainer.
Related Issues (20)
- Broken link to Observable in README.md
- The requirements.txt should be changed to make Installation work. HOT 1
- While training on Tox21 data: "NameError: name 'io_utils' is not defined" HOT 1
- node_idx_new = sum(neighbors_adj_row[:node_idx])--is it possible the way that node_idx_new is generated may lead to duplicate index?
- Question on Explainer Visualization
- Question about link prediction HOT 3
- Question about run bmname=MUTA
- Generating different explanations' subgraphs from the same trained model by using PyG GNNExplainer HOT 1
- Generating Explanations for REDDIT-BINARY and Mutag dataset HOT 7
- Explain Graph Nets models
- Pytorch Geometric training for synthetic data HOT 1
- Frozen Synthetic Dataset
- Accuracy HOT 1
- Reproduction of multi-instance explanations and prototypes
- Doubt: GNNExplainer on Deep GCNN on Graph Classification Tasks HOT 2
- Use this model explain the graph-level GNN model? HOT 1
- Apply to hetero GNN?
- Observable notebook does not exist
- Question about the loss
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