Towards adversarially robust multigraph neural networks for financial crime analysis
Read the original at arxiv.org→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....
Original headline: "Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis"
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- Oct 26, 04:00 UTC arXiv cs.LG lead source Towards Adversarially Robust Multigraph Neural Networks for Financial Crime Analysis