# Unlocking New York City Crime Insights using Relational Database Embeddings

arXiv: https://arxiv.org/abs/2005.09617 · HTML: https://mlsanity.com/paper/2005.09617/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 May 2020.

## Built on by (most cited first, 3 of 3)

- [What is Next when Sequential Prediction Meets Implicitly Hard Interaction?](https://mlsanity.com/paper/2202.06620/) (2022)
- [Embeddings for Tabular Data: A Survey](https://mlsanity.com/paper/2302.11777/) (2023)
- [BERT Meets Relational DB: Contextual Representations of Relational Databases](https://mlsanity.com/paper/2104.14914/) (2021)

## Abstract (arXiv)

This version withdrawn by arXiv administrators because the author did not have the right to agree to our license at the time of submission.
