Piotr Bielak

According to our database, Piotr Bielak authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

Identifying Super Spreaders in Multilayer Networks.

Michal Czuba, Mateusz Stolarski, Adam Piróg, Piotr Bielak, Piotr Bródka

CoRR, May, 2025

Towards Weight-Space Interpretation of Low-Rank Adapters for Diffusion Models.

Jacek Duszenko, Piotr Bielak

Proceedings of the Computational Science - ICCS 2025, 2025

2024

Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning.

Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2024, 2024

Representation Learning in Multiplex Graphs: Where and How to Fuse Information?

Piotr Bielak, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2024, 2024

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings.

Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

A deeper look at Graph Embedding RetroFitting.

Piotr Bielak, Jakub Binkowski, Albert Sawczyn, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz

J. Comput. Sci., April, 2023

Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning.

Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz

CoRR, 2023

RAFEN - Regularized Alignment Framework for Embeddings of Nodes.

Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2023, 2023

Graph-Level Representations Using Ensemble-Based Readout Functions.

Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2023, 2023

2022

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings.

Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla

Knowl. Based Syst., 2022

Graph Barlow Twins: A self-supervised representation learning framework for graphs.

Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla

Knowl. Based Syst., 2022

AttrE2vec: Unsupervised attributed edge representation learning.

Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla

Inf. Sci., 2022

Retrofitting Structural Graph Embeddings with Node Attribute Information.

Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2022, 2022

2021

On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction.

Edward Elson Kosasih, Joaquín Cabezas, Xavier Sumba, Piotr Bielak, Kamil Tagowski, Kelvin Idanwekhai, Benedict Aaron Tjandra, Arian Rokkum Jamasb

CoRR, 2021

Embedding Alignment Methods in Dynamic Networks.

Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz

Proceedings of the Computational Science - ICCS 2021, 2021

2019

Incremental embedding for temporal networks.

Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla

CoRR, 2019