2 citations · 3 across the 3 of their papers we have counts for
3 papers
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…
Latent Graphs for Semi-Supervised Learning on Biomedical Tabular Data
Boshko Koloski, Nada Lavrač, Senja Pollak +1
In the domain of semi-supervised learning, the current approaches insufficiently exploit the potential of considering inter-instance relationships among (un)labeled data. In this w…
Transfer Learning for Node Regression Applied to Spreading Prediction
Sebastian Mežnar, Nada Lavrač, Blaž Škrlj
Understanding how information propagates in real-life complex networks yields a better understanding of dynamic processes such as misinformation or epidemic spreading. The recently…