Cryptography is an essential aspect of software development. Nevertheless, software developers have limited knowledge of cryptography primitives, and support tools are limited. In this work, we ...

This repository contains the code for the reproducibility of the experiments presented in the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022). In ...

Deeply connected graph data and machine learning provide the key to unlocking valuable insights for optimal decision-making in these areas.

Diffbot is a startup focused on using artificial intelligence to better provide companies information found on the internet. The core product is a knowledge graph they claim has mapped “over 10 ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

An important component of this technology stack is a knowledge graph that provides input signals to machine learning models and data insight pipelines to power LinkedIn products.

This repository contains the code for the reproducibility of the experiments presented in the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023). The Scalable Graph Predictor (SGP) is a ...