Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis
arXiv:2610.31718v1 Announce Type: new Abstract: Financial transaction networks are naturally represented as multigraphs, where repeated transactions between the same pair of accounts are modeled as distinct edges. Recently proposed multigraph neural network architectures leverage this structure exp…
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- 2026-10-26 04:00 · arXiv cs.LG
Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis