About
Piotr is a passionate programmer and machine learning enthusiast. He started his research in ML while working at Intel on reinforcement learning methods for large scale cluster schedulers. The work was then continued during his Bachelor thesis (RL-based Linux process scheduler). Later, during Masters studies, he explored the area of representation learning on graphs. His Master thesis “Incremental learning techniques for embedding of temporal graphs” won the first prize in the national competition for the “Best Master thesis in Computer Science”. Currently, he focuses on unsupervised representation learning methods for attributed graphs.
Research Interests
Education
MsC in Computer Science (with honours)
Wroclaw University of Science and Technology · 2019
B.Eng. in Computer Science (with honours)
Wroclaw University of Science and Technology · 2017
Publications
Identifying Super Spreaders in Multilayer Networks
2025 · ECAI 2025
Representation Learning in Multiplex Graphs: Where and How to Fuse Information?
2024 · ICCS (1) 2024
Empowering Small-Scale Knowledge Graphs: Leveraging General-Purpose KGs for Enriched Embeddings
2024 · LREC-COLING 2024
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning
2024 · ICCS 2024
A Deeper Look at Graph Embedding RetroFitting
2023 · J. Computational Science 68
Graph-Level Representations Using Ensemble-Based Readout Functions
2023 · ICCS 2023
RAFEN: Regularized Alignment Framework for Embeddings of Nodes
2023 · ICCS 2023
Retrofitting structural graph embeddings with node attribute information
2022 · *Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 1*
FILDNE: a framework for Incremental Learning of Dynamic Networks Embeddings
2022 · *Knowledge-Based Systems*
Graph Barlow Twins: a self-supervised representation learning framework for graphs
2022 · *Knowledge-Based Systems*
AttrE2vec: unsupervised attributed edge representation learning
2022 · *Information Sciences*
Embedding alignment methods in dynamic networks
2021 · *Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 1*
