Piotr Bielak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Graph Embedding

Visual Representation

Neural Network Ensembles

Supervised Learning

Top Venues

Knowl. Based Syst.

Publications

Piotr Bielak, Tomasz Kajdanowicz
Representation Learning in Multiplex Graphs: Where and How to Fuse Information? ICCS (6) (2024)
Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. LREC/COLING (2024)
Piotr Bielak, Tomasz Kajdanowicz
Representation learning in multiplex graphs: Where and how to fuse information? CoRR (2024)
Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. CoRR (2024)
Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. ICCS (7) (2024)
Piotr Bielak, Jakub Binkowski, Albert Sawczyn, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz
A deeper look at Graph Embedding RetroFitting. J. Comput. Sci. 68 (2023)
Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
Graph-level representations using ensemble-based readout functions. CoRR (2023)
Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
Graph-Level Representations Using Ensemble-Based Readout Functions. ICCS (1) (2023)
Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. ICCS (1) (2023)
Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. CoRR (2023)
Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. CoRR (2023)
Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz
Retrofitting Structural Graph Embeddings with Node Attribute Information. ICCS (1) (2022)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
Graph Barlow Twins: A self-supervised representation learning framework for graphs. Knowl. Based Syst. 256 (2022)
Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings. Knowl. Based Syst. 236 (2022)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
AttrE2vec: Unsupervised attributed edge representation learning. Inf. Sci. 592 (2022)
Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz
Embedding Alignment Methods in Dynamic Networks. ICCS (1) (2021)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
Graph Barlow Twins: A self-supervised representation learning framework for graphs. CoRR (2021)
Edward Elson Kosasih, Joaquín Cabezas, Xavier Sumba, Piotr Bielak, Kamil Tagowski, Kelvin Idanwekhai, Benedict Aaron Tjandra, Arian Rokkum Jamasb
On Graph Neural Network Ensembles for Large-Scale Molecular Property Prediction. CoRR (2021)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
AttrE2vec: Unsupervised Attributed Edge Representation Learning. CoRR (2020)
Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla
Incremental embedding for temporal networks. CoRR (2019)