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Conference Papers

Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Proceedings of the AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2024


Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens

HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity 

ArXiv Preprint

Workshop Papers & Extended Abstracts

Sonny Achten, Johan A. K. Suykens

Primalpool: A Primal Formulation for Spectral-based Node Clustering in Directed Graphs

DEEPK 2024 International Workshop on Deep Learning and Kernel Machines, Leuven, Belgium

Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens

Duality in Multi-View Restricted Kernel Machines 

ICML 2023 Workshop on Duality for Modern Machine Learning, Honolulu, Hawaii, USA

Sonny Achten, Johan A. K. Suykens
A Primal-Dual Model for Message Passing in Graph Neural Networks
DeepLearn 2022 Summer, 6th International Gran Canaria School on Deep Learning, Las Palmas de Gran Canaria, Spain


Applications of Graph Neural Networks for Gene Regulatory Network Inference
Thesis submitted for the degree of Master of Artificial Intelligence, KU Leuven, 2021
under the supervision of prof. Stein Aerts

Uncertainty Quantification in the Response of a Footbridge through Bayesian Finite Element Model Updating
Thesis submitted for the degree of Master of Engineering: Civil Engineering, KU Leuven, 2014
under the supervision of prof. Geert Lombaert