3 papers
cs.LG2025
How Smoothing is N-simplicial Attention?
Alexandre Dussolle, Pietro Liò
Going from pure Multilayer Perceptron (MLP) to a learnable graph message-passing mechanism at each layer has been foundational to state-of-the-art results, despite the computationa…
cs.LG2025
On the Sheafification of Higher-Order Message Passing
Jacob Hume, Pietro Liò
Recent work in Topological Deep Learning (TDL) seeks to generalize graph learning's preeminent paradigm to more complex relational structures: simplicial comple…
cs.CV2025
UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
Tangqi Shi, Pietro Lio
Background: Breast and thyroid cancers pose an increasing public-health burden. Ultrasound imaging is a cost-effective, real-time modality for lesion detection and segmentation, ye…