A privacy-preserving graph analytics framework for predicting merchant financial performance using credit card transaction networks. Implements bipartite network projections, Node2Vec topological embeddings, and network centrality pipelines to generate alternative credit risk indicators without exposing sensitive revenue footprints.
scikit-learn network-science complex-networks feature-engineering graph-analytics igraph graphx node2vec alternative-data privacy-preserving-ml node2vec-embeddings credit-risk-analysis fintech-ai merchant-performance-prediction
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Updated
May 27, 2026 - Jupyter Notebook