Navigating the Dynamics of Financial Embeddings over Time

no code implementations • 1 Jul 2020 • Antonia Gogoglou, Brian Nguyen, Alan Salimov, Jonathan Rider, C. Bayan Bruss

Financial transactions constitute connections between entities and through these connections a large scale heterogeneous weighted graph is formulated.

Graph Representation Learning

DeepTrax: Embedding Graphs of Financial Transactions

no code implementations • 16 Jul 2019 • C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Antonia Gogoglou, Keegan E. Hines

In this paper, we present a novel application of representation learning to bipartite graphs of credit card transactions in order to learn embeddings of account and merchant entities.

BIG-bench Machine Learning Fraud Detection +4

Graph Embeddings at Scale

no code implementations • 3 Jul 2019 • C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Saurabh Nagrecha, Keegan E. Hines

Graph embedding is a popular algorithmic approach for creating vector representations for individual vertices in networks.

Graph Embedding graph partitioning +1