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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Qi Hu

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Conference 2026

ProtoHGC: Heterogeneous Graph Contrastive Learning with Prototype-Regularized Classification for Transaction Fraud Detection

ProtoHGC is proposed, a framework that integrates heterogeneous graph contrastive pre-training with prototype-regularized classification that outperforms GCN, GAT, GraphSAGE, and MLP baselines across all tested hidden dimensions in terms of AUC-ROC, PR-AUC, accuracy, re-call, and F1-score.

Qi Hu · 0 citations

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