| Graph Barlow Twins: A self-supervised representation learning framework for graphs P Bielak, T Kajdanowicz, NV Chawla Knowledge-Based Systems 256, 109631, 2022 | 128 | 2022 |
| FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings P Bielak, K Tagowski, M Falkiewicz, T Kajdanowicz, NV Chawla arXiv preprint arXiv:1904.03423, 2020 | 27 | 2020 |
| 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 | 12 | 2021 |
| AttrE2vec: Unsupervised Attributed Edge Representation Learning P Bielak, T Kajdanowicz, NV Chawla Information Sciences, 2022 | 10 | 2022 |
| Embedding alignment methods in dynamic networks K Tagowski, P Bielak, T Kajdanowicz International Conference on Computational Science, 599-613, 2021 | 6 | 2021 |
| Graph-level representations using ensemble-based readout functions J Binkowski, A Sawczyn, D Janiak, P Bielak, T Kajdanowicz International Conference on Computational Science, 393-405, 2023 | 4 | 2023 |
| PyTorch-Geometric Edge-a Library for Learning Representations of Graph Edges P Bielak, TJ Kajdanowicz The First Learning on Graphs Conference, 2022 | 2 | 2022 |
| Retrofitting structural graph embeddings with node attribute information P Bielak, D Puchalska, T Kajdanowicz International Conference on Computational Science, 178-191, 2022 | 2 | 2022 |
| Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning D Janiak, J Binkowski, P Bielak, T Kajdanowicz International Conference on Computational Science, 337-351, 2024 | 1 | 2024 |
| Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings A Sawczyn, J Binkowski, P Bielak, T Kajdanowicz arXiv preprint arXiv:2405.10745, 2024 | 1 | 2024 |
| A deeper look at Graph Embedding RetroFitting P Bielak, J Binkowski, A Sawczyn, K Viarenich, D Puchalska, ... Journal of Computational Science 68, 101979, 2023 | 1 | 2023 |
| Representation learning in multiplex graphs: Where and how to fuse information? P Bielak, T Kajdanowicz International Conference on Computational Science, 3-18, 2024 | | 2024 |
| Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning D Janiak, J Binkowski, P Bielak, T Kajdanowicz arXiv preprint arXiv:2310.18080, 2023 | | 2023 |
| 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 |
Tomasz KajdanowiczWroclaw University of TechnologyVerified email at pwr.edu.pl
