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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
Preprints
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
Theses
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