Graph embedding approach using Node2Vec random walks to generate node representations from transaction networks. Feeds embeddings into traditional ML classifiers (XGBoost, Random Forest) for fraud ...
This project implements Node2Vec to generate low-dimensional vector representations (embeddings) for nodes in a graph. The learned embeddings capture structural relationships between nodes and can be ...
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