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GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks
Industrial fraud detection often relies on costly expert-crafted features that overlook graph-structured relational signals, while GNNs often do not meet the interpretability and deployment requirements of financial risk control. We propose GraphFAS (Graph Feature Automated Selection), a distributed
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