123 citations · 215 across the 27 of their papers we have counts for
3 papers · 1 filter
On the Interpretability and Evaluation of Graph Representation Learning
Antonia Gogoglou, C. Bayan Bruss, Keegan E. Hines
With the rising interest in graph representation learning, a variety of approaches have been proposed to effectively capture a graph's properties. While these approaches have impro…
DeepTrax: Embedding Graphs of Financial Transactions
C. Bayan Bruss, Anish Khazane, Jonathan Rider +3
Financial transactions can be considered edges in a heterogeneous graph between entities sending money and entities receiving money. For financial institutions, such a graph is lik…
Graph Embeddings at Scale
C. Bayan Bruss, Anish Khazane, Jonathan Rider +3
Graph embedding is a popular algorithmic approach for creating vector representations for individual vertices in networks. Training these algorithms at scale is important for creat…