Researchers found that standard graph neural networks (GNNs) trained on static snapshots of financial transaction networks can leak future information, making them perform better than they should. To address this, they released SynthFin-AML v10.0, a synthetic dataset with 100k nodes and 1.2M edges, designed to enforce strict causal boundaries.
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