22 citations · 52 across the 12 of their papers we have counts for
5 papers · 1 filter
Automating Rigid Origami Design
Jeremia Geiger, Karolis Martinkus, Oliver Richter +1
Rigid origami has shown potential in large diversity of practical applications. However, current rigid origami crease pattern design mostly relies on known tessellations. This stro…
Diffusion Models for Graphs Benefit From Discrete State Spaces
Kilian Konstantin Haefeli, Karolis Martinkus, Nathanaël Perraudin +1
Denoising diffusion probabilistic models and score-matching models have proven to be very powerful for generative tasks. While these approaches have also been applied to the genera…
Agent-based Graph Neural Networks
Karolis Martinkus, Pál András Papp, Benedikt Schesch +1
We present a novel graph neural network we call AgentNet, which is designed specifically for graph-level tasks. AgentNet is inspired by sublinear algorithms, featuring a computatio…
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees
Peter Müller, Lukas Faber, Karolis Martinkus +1
We propose the fully explainable Decision Tree Graph Neural Network (DT+GNN) architecture. In contrast to existing black-box GNNs and post-hoc explanation methods, the reasoning of…
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin +1
We approach the graph generation problem from a spectral perspective by first generating the dominant parts of the graph Laplacian spectrum and then building a graph matching these…