| FILDNE: a framework for incremental learning of dynamic networks embeddings P Bielak, K Tagowski, M Falkiewicz, T Kajdanowicz, NV Chawla Knowledge-Based Systems 236, 107453, 2022 | 22 | 2022 |
| This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish L Augustyniak, K Tagowski, A Sawczyn, D Janiak, R Bartusiak, ... Advances in Neural Information Processing Systems 35, 21805-21818, 2022 | 9 | 2022 |
| On graph neural network ensembles for large-scale molecular property prediction EE Kosasih, J Cabezas, X Sumba, P Bielak, K Tagowski, K Idanwekhai, ... arXiv preprint arXiv:2106.15529, 2021 | 8 | 2021 |
| Embedding alignment methods in dynamic networks K Tagowski, P Bielak, T Kajdanowicz International Conference on Computational Science, 599-613, 2021 | 4 | 2021 |
| Incremental learning in dynamic networks for node classification T Kajdanowicz, K Tagowski, M Falkiewicz, P Kazienko Network Intelligence Meets User Centered Social Media Networks 4, 133-142, 2018 | 2 | 2018 |
| RAFEN – Regularized Alignment Framework for Embeddings of Nodes K Tagowski, P Bielak, J Binkowski, T Kajdanowicz International Conference on Computational Science, 352-364, 2023 | | 2023 |
