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A survey on hypergraph neural networks: An in-depth and step-by-step guide
Higher-order interactions (HOIs) are ubiquitous in real-world complex systems and
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …
applications. Investigation of deep learning for HOIs, thus, has become a valuable agenda …
Topological methods in machine learning: A tutorial for practitioners
B Coskunuzer, CG Akçora - ar** a new class of
fundamental operators known as the Dirac operator, particularly in topological signals and …
fundamental operators known as the Dirac operator, particularly in topological signals and …
Differentiable Euler characteristic transforms for shape classification
The Euler Characteristic Transform (ECT) has proven to be a powerful representation,
combining geometrical and topological characteristics of shapes and graphs. However, the …
combining geometrical and topological characteristics of shapes and graphs. However, the …
Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning
Recently, topological data analysis has become a trending topic in data science and
engineering. However, the key technique of topological data analysis, ie, persistent …
engineering. However, the key technique of topological data analysis, ie, persistent …