June 10, 2024, 4:45 a.m. | Adrien Carrel

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.04916v1 Announce Type: new
Abstract: Graph structures offer a versatile framework for representing diverse patterns in nature and complex systems, applicable across domains like molecular chemistry, social networks, and transportation systems. While diffusion models have excelled in generating various objects, generating graphs remains challenging. This thesis explores the potential of score-based generative models in generating such objects through a modelization as combinatorial complexes, which are powerful topological structures that encompass higher-order relationships.
In this thesis, we propose a unified framework …

abstract arxiv chemistry complex systems cs.lg cs.si differential diffusion diffusion models diverse domains framework graph graphs math.at modelling nature networks objects patterns potential social social networks stochastic systems thesis through transportation type while

Senior Data Engineer

@ Displate | Warsaw

Junior Data Analyst - ESG Data

@ Institutional Shareholder Services | Mumbai

Intern Data Driven Development in Sensor Fusion for Autonomous Driving (f/m/x)

@ BMW Group | Munich, DE

Senior MLOps Engineer, Machine Learning Platform

@ GetYourGuide | Berlin

Data Engineer, Analytics

@ Meta | Menlo Park, CA

Data Engineer

@ Meta | Menlo Park, CA