23 citations · 23 across the 4 of their papers we have counts for
4 papers
Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs
Soveatin Kuntur, Maciej Krzywda, Anna Wróblewska +4
The rapid spread of online misinformation has led to increasingly complex detection models, including large language models and hybrid architectures. However, their computational c…
Kolmogorov-Arnold networks for metal surface defect classification
Maciej Krzywda, Mariusz Wermiński, Szymon Łukasik +1
This paper presents the application of Kolmogorov-Arnold Networks (KAN) in classifying metal surface defects. Specifically, steel surfaces are analyzed to detect defects such as cr…
Text-Based Product Matching -- Semi-Supervised Clustering Approach
Alicja Martinek, Szymon Łukasik, Amir H. Gandomi
Matching identical products present in multiple product feeds constitutes a crucial element of many tasks of e-commerce, such as comparing product offerings, dynamic price optimiza…
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches
Maciej Krzywda, Szymon Łukasik, Amir H. Gandomi
Graph Neural Networks (GNNs) are a family of graph networks inspired by mechanisms existing between nodes on a graph. In recent years there has been an increased interest in GNN an…