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Pascal Welke's Projects

beamer_compress icon beamer_compress

A script to extract the last overlay from each frame of a beamer presentation

grakel icon grakel

A scikit-learn compatible library for graph kernels

grrph icon grrph

Pascals Python Graph Library

hfp-growth icon hfp-growth

HFP-Growth is a data mining algorithm to compute entropy & mutual information of subsets of nominal features.

homcount icon homcount

Expectation-Complete Graph Representations

hops icon hops

Code and Data for HOPS: Probabilistic Subtree Mining for Small and Large Graphs

p-wl icon p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

pyt-challenge-icml-2024 icon pyt-challenge-icml-2024

Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.

random-nonwoven-fibers icon random-nonwoven-fibers

Code for the paper "Graph-Based Tensile Strength Approximation of Random Nonwoven Materials by Interpretable Regression"

seminarfromtheorytoalgorithms icon seminarfromtheorytoalgorithms

Website of the Seminar on the Second Part of the Book "Understanding Machine Learning", taught in Summer Term 2019 by Pascal Welke and Michael Kamp

seminarlearningtheory icon seminarlearningtheory

Website for the Seminar on Learning Theory, taught WS18/19 by Michael Kamp and Pascal Welke

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