Search Results for author: Richard Serpe

Found 2 papers, 0 papers with code

DeepTrax: Embedding Graphs of Financial Transactions

no code implementations16 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 implementations3 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

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