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Found 5 papers, 2 papers with code
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering patterns in financial transaction graphs in real time.
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models
To this end, this paper contributes a synthetic financial transaction dataset generator and a set of synthetically generated AML (Anti-Money Laundering) datasets.
Provably Powerful Graph Neural Networks for Directed Multigraphs
This paper analyses a set of simple adaptations that transform standard message-passing Graph Neural Networks (GNN) into provably powerful directed multigraph neural networks.
Tabular Transformers for Modeling Multivariate Time Series
This results in two architectures for tabular time series: one for learning representations that is analogous to BERT and can be pre-trained end-to-end and used in downstream tasks, and one that is akin to GPT and can be used for generation of realistic synthetic tabular sequences.
Understanding AI Data Repositories with Automatic Query Generation
The proposed techniques also allow ingested knowledge to be extended naturally.
