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Category: Dilithium

Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings

2.10.2023
In this paper, we study graph representation learning and show that data augmentation that preserves semantics can be learned and used to produce interpretations. Our framework, which we named INGENIOUS, creates inherently interpretable embeddings and eliminates the need for costly additional post-hoc analysis.

Internships 2023

31.10.2022
This document presents internships supervised by our software engineering department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.

DEBS 2022

6.07.2022
In June 2022, our research director Sabri Skhiri and the head of the data science department Madalina Ciortan travelled to Copenhagen to attend DEBS 2022, the leading conference focusing on distributed and event-based systems.
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