3 papers
cs.AI2026
Feature Propagation on Knowledge Graphs using Cellular Sheaves
John Cobb, Thomas Gebhart
Many inference tasks on knowledge graphs, including relation prediction, operate on knowledge graph embeddings -- vector representations of the vertices (entities) and edges (relat…
cs.CY2025
Opening Knowledge Gaps Drives Scientific Progress
Kara Kedrick, Wenlong Yang, Thomas Gebhart +2
Knowledge production is often viewed as an endogenous process in which discovery arises through the recombination of existing theories, findings, and concepts. Yet given the vast s…
math.AT2025
Sheaf theory: from deep geometry to deep learning
Anton Ayzenberg, Thomas Gebhart, German Magai +1
This paper provides an overview of the applications of sheaf theory in deep learning, data science, and computer science in general. The primary text of this work serves as a frien…