1 citations · 1 across the 3 of their papers we have counts for
5 papers
polyview: A Python package for multi-view machine learning
Gwendal Debaussart-Joniec, Argyris Kalogeratos
Multi-view learning jointly exploits multiple complementary representations of the same data and has become increasingly important in machine learning. However, the Python ecosyste…
A Finslerian Approach for Embedding Directed Data
Gwendal Debaussart-Joniec, Théau Blanchard, Argyris Kalogeratos
Many datasets carry an intrinsic directionality: citations point backward in time, cells differentiate along lineages, and traffic follows preferred routes. Spectral embedding meth…
Multi-view diffusion geometry using intertwined diffusion trajectories
Gwendal Debaussart-Joniec, Argyris Kalogeratos
This paper introduces a comprehensive unified framework for constructing multi-view diffusion geometries through intertwined multi-view diffusion trajectories (MDTs), a class of in…
Parametrized Power-Iteration Clustering for Directed Graphs
Gwendal Debaussart-Joniec, Harry Sevi, Matthieu Jonckheere +1
Vertex-level clustering for directed graphs (digraphs) remains challenging as edge directionality breaks the key assumptions underlying popular spectral methods, which also incur t…
Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs
Harry Sevi, Gwendal Debaussart-Joniec, Malik Hacini +2
Clustering in directed graphs remains a fundamental challenge due to the asymmetry in edge connectivity, which limits the applicability of classical spectral methods originally des…