no code implementations • 27 May 2024 • Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
Clustering nodes in heterophilous graphs presents unique challenges due to the asymmetric relationships often overlooked by traditional methods, which moreover assume that good clustering corresponds to high intra-cluster and low inter-cluster connectivity.
2 code implementations • 26 May 2023 • Sonny Achten, Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A. K. Suykens
We propose a unifying setting that combines existing restricted kernel machine methods into a single primal-dual multi-view framework for kernel principal component analysis in both supervised and unsupervised settings.
1 code implementation • 31 Jan 2023 • Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
We present a deep Graph Convolutional Kernel Machine (GCKM) for semi-supervised node classification in graphs.