Zaghen, Olga

7 publications

ICLRW 2025 Graph Discrete Diffusion: A Spectral Study Olga Zaghen, Manuel Madeira, Laura Toni, Pascal Frossard

TMLR 2025 Hypergraph Neural Networks Through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernardez, Olga Zaghen, Simone Scardapane, Pietro Lio

ICLR 2025 Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

ICLRW 2025 Towards Variational Flow Matching on General Geometries Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Erik J Bekkers

ICMLW 2024 Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

ICMLW 2024 Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio

MLOSS 2024 TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane