A pytorch implementation of GCN on EllipticDataSet, and this repo provides a GCN-related layer to promote the original GCN layer.
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Updated
Jun 2, 2022 - Python
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elliptic-dataset
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Reproducible research comparing GNN (GraphSAGE, GCN, GAT) vs ML baselines (XGBoost, RF) on Elliptic++ Bitcoin fraud detection. Features ablation experiments revealing when tabular models outperform graph neural networks.
machine-learning bitcoin reproducible-research pytorch cryptocurrency xgboost feature-engineering fraud-detection graphsage graph-neural-networks pytorch-geometric temporal-graphs ablation-study elliptic-dataset temporal-split
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Nov 8, 2025 - Python
Graph-Tabular Fusion for Bitcoin Fraud Detection - Demonstrating when Node2Vec embeddings don't improve XGBoost. Scientifically rigorous negative result validating that tabular features encode graph structure.
machine-learning bitcoin reproducible-research tabular-data xgboost feature-engineering graph-machine-learning fraud-detection node2vec graph-embeddings graph-neural-networks blockchain-analysis pytorch-geometric negative-results elliptic-dataset
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Nov 9, 2025 - Python
🔗 Explore Graph-Tabular Fusion to enhance Bitcoin fraud detection, revealing that rich tabular features render graph embeddings redundant.
machine-learning bitcoin reproducible-research tabular-data xgboost feature-engineering graph-machine-learning fraud-detection node2vec graph-embeddings graph-neural-networks blockchain-analysis pytorch-geometric negative-results elliptic-dataset
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Updated
Dec 2, 2025
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