Foundation models for transaction data
Published transaction and banking models, temporal graphs and fraud detection.
Transaction foundation models in industryEight published transaction and banking foundation models.14 questions
Pretraining objectives and encodingsWhat CPC, replaced-event detection and temporal contrast learn, and what they miss.14 questions
Temporal graphs and real-time servingMemory, neighbors and honest evaluation on timestamped graphs; serving in real time.14 questions
Relational deep learning and graph foundation modelsGraphs built from relational tables, graph pretraining, and graph foundation models.14 questions
Fraud graphs and fraud labelsFraud GNNs against tree baselines, edge-level crime patterns, and the trouble with labels.14 questions