TransXion supplies a 3-million-transaction graph benchmark with profile-aware normal activity and stochastic illicit subgraphs that produces lower detection scores than prior AML datasets.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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BlazingAML uses a multi-stage graph mining framework and compiler to express fuzzy AML patterns, matching SOTA F1 scores while delivering 210x CPU and 333x GPU speedups on IBM datasets.
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TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
TransXion supplies a 3-million-transaction graph benchmark with profile-aware normal activity and stochastic illicit subgraphs that produces lower detection scores than prior AML datasets.
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BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining
BlazingAML uses a multi-stage graph mining framework and compiler to express fuzzy AML patterns, matching SOTA F1 scores while delivering 210x CPU and 333x GPU speedups on IBM datasets.