5 citations · 5 across the 2 of their papers we have counts for
2 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.CR2020★ 5 cited
Nested Multiple Instance Learning in Modelling of HTTP network traffic
Tomas Pevny, Marek Dedic
In many interesting cases, the application of machine learning is hindered by data having a complicated structure stimulated by a structured file-formats like JSONs, XMLs, or Proto…