TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
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Updated
Jun 22, 2024 - Python
TopoBenchmarkX is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
Tool to numerically solve and analyse simplicial Kuramoto models.
Inductive Higher Order Knowledge Hypergraph Completion
Probabilistic activity driven model of temporal simplicial networks and its application on higher-order dynamics
A toolkit for discrete calculus.
UDiPH is a package that creates a new metric space where the points are uniformly sampled with respect to a global metric. It is oriented for creating Vietoris-Rips filtrations that are independent of the metric of the initial space.
A backtracking-based algorithm to check if a given degree-size sequence can realize a simplicial complex
Repository for "Invariant Representations of Embedded Simplicial Complexes"
Creating/visualizing simplicial complexes out of randomly generated data with computing some filterations
Simplex Tree Implmentation in Python
This Python code generates a Combinatorial Discrete Cell Complex for the slip planes arrangement in FCC and BCC lattices as a set of Adjacency and Incidence matrices
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