Marek Dedic

According to our database, Marek Dedic authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Benchmarking and Transfer Learning for Hyperparameter Optimization of Graph Neural Networks.

Marek Dedic, Michal Belohlávek

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2024

Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs.

Pavel Procházka, Marek Dedic, Lukás Bajer

CoRR, 2024

Balancing performance and complexity with adaptive graph coarsening.

Marek Dedic, Lukás Bajer, Pavel Procházka, Martin Holena

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Which Graph Properties Affect GNN Performance for a Given Downstream Task?

Pavel Procházka, Michal Mares, Marek Dedic

Proceedings of the 23rd Conference Information Technologies, 2023

2022

Scalable Graph Size Reduction for Efficient GNN Application.

Pavel Procházka, Michal Mares, Marek Dedic

Proceedings of the 22nd Conference Information Technologies, 2022

2021

Experimental Investigation of Neural and Weisfeiler-Lehman-Kernel Graph Representations for Downstream Classification.

Sergej Borisov, Marek Dedic, Martin Holena

Proceedings of the 21st Conference Information Technologies, 2021

2020

Nested Multiple Instance Learning in Modelling of HTTP network traffic.

Tomás Pevný, Marek Dedic

CoRR, 2020

Loss Functions for Clustering in Multi-instance Learning.

Marek Dedic, Tomás Pevný, Lukás Bajer, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020