271 citations · 373 across the 12 of their papers we have counts for
5 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…
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Anh Truong, Austin Walters, Jeremy Goodsitt +3
There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years. ML engineers, as a consequence, are in high demand across the i…
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…
A Multitask Network for Localization and Recognition of Text in Images
Mohammad Reza Sarshogh, Keegan E. Hines
We present an end-to-end trainable multi-task network that addresses the problem of lexicon-free text extraction from complex documents. This network simultaneously solves the prob…