Artificial Intelligence, Computer Science, Computer Science Applications, Control and Optimization
85
Scholar Citations
5
Scholar h-index
2
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs S Kuntur, M Krzywda, A Wróblewska, M Paprzycki, M Ganzha, S Łukasik, ... arXiv preprint arXiv:2604.08131 , 2026 2026
Graph Neural Network Architecture Search via Hybrid Genetic Algorithm with Parallel Tempering M Krzywda Proceedings of the 34th ACM International Conference on Information and … , 2025 2025 Citations: 1
Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case Studies M Krzywda, S Łukasik, AH Gandomi 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS … , 2025 2025 Citations: 2
Linear Genetic Programming for Design Graph Neural Networks for Node Classification M Krzywda, S Łukasik, AH Gandomi Proceedings of the Genetic and Evolutionary Computation Conference Companion … , 2025 2025 Citations: 2
Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming M Krzywda, Y Liu, S Łukasik, AH Gandomi Proceedings of the Genetic and Evolutionary Computation Conference Companion … , 2025 2025 Citations: 2
Harnessing Graph Neural Networks: A Comparative Study of Transformers and Autoencoders in Link Prediction for High-Energy Physics W Gomułka, M Krzywda, PA Kowalski, T Szumlak, T Bołd, S Łukasik, ... Polish Conference on Artificial Intelligence, 219-228 , 2025 2025
Kolmogorov-Arnold networks for metal surface defect classification M Krzywda, M Wermiński, S Łukasik, AH Gandomi Studia i Materiały Informatyki Stosowanej 16 (3), 52-56 , 2025 2025 Citations: 5
How powerful are classic Graph Neural Networks for malware detection? : a case study with Cartesian Genetic Programming M Krzywda, S Łukasik, AH Gandomi 6th Polish Conference on Artifical Intelligence (PP-RAI'2025), 188-194 , 2025 2025
Evolutionary design of Graph Neural Network architectures for graph classification M Krzywda, S Łukasik, AH Gandomi 6th Polish Conference on Artifical Intelligence (PP-RAI'2025), 247–253 , 2025 2025
Designing Graph-Kolmogorov-Arnold networks for node classification with Cartesian Genetic Programming M Krzywda, H Chenqing, S Łukasik, AH Gandomi Proceedings the High Performance Computer Users Conference KU KDM, 47-48 , 2025 2025
Comparative analysis of graph neural networks and Transformers for robust fake news detection: A verification and reimplementation study S Kuntur, M Krzywda, A Wróblewska, M Paprzycki, M Ganzha Electronics 13 (23), 4784 , 2024 2024 Citations: 23
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks M Krzywda, S Łukasik, AH Gandomi arXiv preprint arXiv:2410.00129 , 2024 2024 Citations: 5
Training Graph Neural Networks with Particle Swarm Optimisation R Shen, AS Bosman, A Schreuder, M Krzywda, S Łukasik Sacair 2023 , 2023 2023 Citations: 3
Feasibility of knowledge graphs as a tool for data storage in production planning systems M Krzywda, K Regulski, Ł Rauch XXVIII conference on computer methods in materials technology - KomPlasTech, 1-3 , 2023 2023
Graph Neural Networks in Computer Vision-Architectures, Datasets and Common Approaches M Krzywda, S Łukasik, AH Gandomi 2022 International Joint Conference on Neural Networks (IJCNN), 1-10 , 2022 2022 Citations: 35
Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring M Hajder, P Hajder, T Gil, M Krzywda, J Kolbusz, M Liput Procedia computer science 192, 3711-3721 , 2021 2021 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Graph Neural Networks in Computer Vision-Architectures, Datasets and Common Approaches M Krzywda, S Łukasik, AH Gandomi 2022 International Joint Conference on Neural Networks (IJCNN), 1-10 , 2022 2022 Citations: 35
Comparative analysis of graph neural networks and Transformers for robust fake news detection: A verification and reimplementation study S Kuntur, M Krzywda, A Wróblewska, M Paprzycki, M Ganzha Electronics 13 (23), 4784 , 2024 2024 Citations: 23
Architecture and organization of a Platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring M Hajder, P Hajder, T Gil, M Krzywda, J Kolbusz, M Liput Procedia computer science 192, 3711-3721 , 2021 2021 Citations: 7
Kolmogorov-Arnold networks for metal surface defect classification M Krzywda, M Wermiński, S Łukasik, AH Gandomi Studia i Materiały Informatyki Stosowanej 16 (3), 52-56 , 2025 2025 Citations: 5
Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks M Krzywda, S Łukasik, AH Gandomi arXiv preprint arXiv:2410.00129 , 2024 2024 Citations: 5
Training Graph Neural Networks with Particle Swarm Optimisation R Shen, AS Bosman, A Schreuder, M Krzywda, S Łukasik Sacair 2023 , 2023 2023 Citations: 3
Applying Evolutionary Techniques to Enhance Graph Convolutional Networks for Node Classification: Case Studies M Krzywda, S Łukasik, AH Gandomi 2025 20th Conference on Computer Science and Intelligence Systems (FedCSIS … , 2025 2025 Citations: 2
Linear Genetic Programming for Design Graph Neural Networks for Node Classification M Krzywda, S Łukasik, AH Gandomi Proceedings of the Genetic and Evolutionary Computation Conference Companion … , 2025 2025 Citations: 2
Unveiling the Search Space of Simple Contrastive Graph Clustering with Cartesian Genetic Programming M Krzywda, Y Liu, S Łukasik, AH Gandomi Proceedings of the Genetic and Evolutionary Computation Conference Companion … , 2025 2025 Citations: 2
Graph Neural Network Architecture Search via Hybrid Genetic Algorithm with Parallel Tempering M Krzywda Proceedings of the 34th ACM International Conference on Information and … , 2025 2025 Citations: 1
Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs S Kuntur, M Krzywda, A Wróblewska, M Paprzycki, M Ganzha, S Łukasik, ... arXiv preprint arXiv:2604.08131 , 2026 2026
Harnessing Graph Neural Networks: A Comparative Study of Transformers and Autoencoders in Link Prediction for High-Energy Physics W Gomułka, M Krzywda, PA Kowalski, T Szumlak, T Bołd, S Łukasik, ... Polish Conference on Artificial Intelligence, 219-228 , 2025 2025
How powerful are classic Graph Neural Networks for malware detection? : a case study with Cartesian Genetic Programming M Krzywda, S Łukasik, AH Gandomi 6th Polish Conference on Artifical Intelligence (PP-RAI'2025), 188-194 , 2025 2025
Evolutionary design of Graph Neural Network architectures for graph classification M Krzywda, S Łukasik, AH Gandomi 6th Polish Conference on Artifical Intelligence (PP-RAI'2025), 247–253 , 2025 2025
Designing Graph-Kolmogorov-Arnold networks for node classification with Cartesian Genetic Programming M Krzywda, H Chenqing, S Łukasik, AH Gandomi Proceedings the High Performance Computer Users Conference KU KDM, 47-48 , 2025 2025
Feasibility of knowledge graphs as a tool for data storage in production planning systems M Krzywda, K Regulski, Ł Rauch XXVIII conference on computer methods in materials technology - KomPlasTech, 1-3 , 2023 2023
