gnnexplainer

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albertovalerio / multimetric-framework-for-gnn-explanations

Multi-metric framework for quantitatively validating GNN explanations in brain tumor segmentation. It evaluates GraphSAGE, GAT, and ChebNet with Integrated Gradients, GraphLIME, and GNNExplainer on BraTS 2023 supervoxel graphs.

medical-imaging supervoxel brats explainable-ai graph-neural-networks brain-tumor-segmentation integrated-gradients xai-evaluation brats2023 supervoxels gnnexplainer graphlime gnn-explainability supervoxel-graphs

Updated Jul 31, 2026
Jupyter Notebook

Dekazu / MolSight

Star

Project to understand and built a Graph Neural Network for molecular property prediction (toxicity, solubility, and drug-likeness) on MoleculeNet benchmarks.

machine-learning deep-learning chemistry cheminformatics pytorch drug-discovery rdkit gradio molecular-biology explainable-ai xai graph-neural-networks pytorch-geometric gnn molecular-property-prediction gnnexplainer

Updated Apr 30, 2026
Python

markasame / fraud-detection-gnn

Star

Graph Neural Network fraud detection on the Elliptic Bitcoin dataset - GraphSAGE node classification vs. a flat XGBoost baseline, GNNExplainer explanations, FastAPI serving and a Streamlit subgraph dashboard. 100% free stack: PyTorch CPU + PyTorch Geometric, no paid APIs or compute.

machine-learning bitcoin xgboost fraud-detection explainable-ai graphsage anti-money-laundering fastapi pytorch-geometric graph-neural-network streamlit gnnexplainer

Updated Jul 6, 2026
Python

gurojaschadha / Evaluating-the-Role-of-Attention-Based-Message-Passing-in-Explainable-Molecular-Toxicity-Prediction

Star

Official implementation of Explainable Molecular Toxicity Prediction using Graph Neural Networks, GNNExplainer, PGExplainer, and attention-based message passing on the Tox21 benchmark.

machine-learning bioinformatics deep-learning drug-discovery explainable-ai graph-attention-networks graph-neural-networks tox21 pytorch-geometric gnn gnnexplainer

Updated Aug 11, 2026
Python

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