GRAPH ALGORITHMS · C++

Fraud Detection with PPR

Personalized PageRank for scalable ranking-based fraud detection in transaction networks.

Role Algorithms / Systems
Year 2026
Language C++17 + Python
Evaluation Convergence · Precision@K
Fraud Detection with PPR convergence analysis

Graph-based fraud detection

A performance-oriented C++17 implementation of Personalized PageRank using power iteration, deterministic seed selection, convergence monitoring, Precision@K evaluation, and structured experiments across datasets and alpha values.

Graph Input Seed Selection Power Iteration Convergence Ranking Precision@K Parameter Sweep Analysis

Parameter sensitivity

PPR convergence analysis Precision at K with fraud seeds Precision at K without fraud seeds