Showing papers from AIDOS Lab, Department of Computer Science, University of Fribourg, Switzerland Show all papers
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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Extending a manifold triangulation benchmark reveals GNNs and HOMP can saturate it with proper representations, yet existing models fail to generalize beyond combinatorial structure.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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Diversity curves track structural spread across graph coarsening levels to yield interpretable, size-invariant graph embeddings for clustering, visualization, and comparison.
Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026
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Topological and geometric embedding measures are redundant, so Unified Topological Signatures holistically characterize spaces to predict model properties and retrieval performance.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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