1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs
Pavel Procházka, Marek Dědič, Lukáš Bajer
Last decade has seen the emergence of numerous methods for learning on graphs, particularly Graph Neural Networks (GNNs). These methods, however, are often not directly applicable…
cs.LG2024
Malicious Internet Entity Detection Using Local Graph Inference
Simon Mandlik, Tomas Pevny, Vaclav Smidl +1
Detection of malicious behavior in a large network is a challenging problem for machine learning in computer security, since it requires a model with high expressive power and scal…
cs.NE2014★ 1 cited
Two Gaussian Approaches to Black-Box Optomization
Lukáš Bajer, Martin Holeňa
Outline of several strategies for using Gaussian processes as surrogate models for the covariance matrix adaptation evolution strategy (CMA-ES).