GitHub / FilippoMB / Tutorial_GNN_explainability
This in an introduction to PyTorch Geometric, the deep learning library for Graph Neural Networks, and to interpretability tools for analyzing the decision process of a GNN.
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Stars: 2
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 2.72 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago
Topics: captum, explainability, explainable-ai, geometric-deep-learning, graph-neural-networks, pytorch-geometric, tutorial, tutorial-code