Ctd2020: A Quantum Graph Network Approach To Particle Track Reconstruction - Cenk Tuysuz

CTD2020: A Quantum Graph Network Approach to Particle Track Reconstruction - Cenk Tuysuz

Connecting the Dots workshop

Hybrid Quantum-Classical Graph Neural Networks for Track Reconstruction - Cenk Tüysüz

Kuantum Optiği ve Bilişimi Toplantısı

CTD2020: Exploring (Quantum) Track Reconstruction for non-HEP applications - Kristiane Novotny

Connecting the Dots workshop

Particle Track Reconstruction: Joining the Dots at the LHC

Paper Presentation: Graph Neural Networks on Quantum Computers | SSI Club AI Paper Fest

CTD2022: Deep Learning Track Reconstruction for TeV-PeV Cosmic Rays in Space

Connecting the Dots workshop

Data Learning: Graph Neural Networks for Charged Particle Reconstruction at Large Hadron Collider

DataLearning@ICL

Quantum Generative Models for Quantum Graph Generation

Quantum Data World

Particle Tracking with Graph Neural Networks - Gage DeZoort (Princeton)

Graph Network in High Energy Physics - Jean-Roch Vlimant

CTD2020: Minimum Pt Track Reconstruction in ATLAS - Patrick Mccormack

Connecting the Dots workshop

Animation: Graph Neural Network predicting Quantum Ground States

Florian Marquardt

Quantum State Reconstruction with Artificial and Spiking Neural Networks | Stefanie Czischek

Applied Machine Learning Days

[DSC Europe 2020] Quantum Neural Networks – An Overview - Peter Morgan

Data Science Conference

George Karniadakis - From PINNs to DeepOnets

Physics Informed Machine Learning

Neural Message Passing for Quantum Chemistry

Quantum Graphs and Quantum Graph C∗-Algebras

Fields Institute

Matthew G. Parker / Exclusivity graphs from quantum graph states – and mixed graph generalisations