| 2025 | ECAI | Identifying Super Spreaders in Multilayer Networks. | Michal Czuba, Mateusz Stolarski, Adam Pirg, Piotr Bielak, Piotr Brdka |
| 2025 | ICCS | Towards Weight-Space Interpretation of Low-Rank Adapters for Diffusion Models. | Jacek Duszenko, Piotr Bielak |
| 2024 | COLING | Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. | Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz |
| 2024 | ICCS | Representation Learning in Multiplex Graphs: Where and How to Fuse Information? | Piotr Bielak, Tomasz Kajdanowicz |
| 2024 | ICCS | Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. | Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz |
| 2023 | ICCS | Graph-Level Representations Using Ensemble-Based Readout Functions. | Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz |
| 2023 | ICCS | RAFEN - Regularized Alignment Framework for Embeddings of Nodes. | Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz |
| 2022 | ICCS | Retrofitting Structural Graph Embeddings with Node Attribute Information. | Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz |
| 2021 | ICCS | Embedding Alignment Methods in Dynamic Networks. | Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz |