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Journal Articles
- 2023
[j4]Piotr Bielak, Jakub Binkowski, Albert Sawczyn
, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz:
A deeper look at Graph Embedding RetroFitting. J. Comput. Sci. 68: 101979 (2023)- 2022
- [j3]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
AttrE2vec: Unsupervised attributed edge representation learning. Inf. Sci. 592: 82-96 (2022) - [j2]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: 107453 (2022) - [j1]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
Graph Barlow Twins: A self-supervised representation learning framework for graphs. Knowl. Based Syst. 256: 109631 (2022)
Conference and Workshop Papers
- 2024
- [c7]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: 5768-5782 - [c6]Piotr Bielak, Tomasz Kajdanowicz:
Representation Learning in Multiplex Graphs: Where and How to Fuse Information? ICCS (6) 2024: 3-18 - [c5]Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. ICCS (7) 2024: 337-351 - 2023
- [c4]Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz:
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. ICCS (1) 2023: 352-364 - [c3]Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz:
Graph-Level Representations Using Ensemble-Based Readout Functions. ICCS (1) 2023: 393-405 - 2022
- [c2]Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz:
Retrofitting Structural Graph Embeddings with Node Attribute Information. ICCS (1) 2022: 178-191 - 2021
- [c1]Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz:
Embedding Alignment Methods in Dynamic Networks. ICCS (1) 2021: 599-613
Informal and Other Publications
- 2024
- [i9]Piotr Bielak, Tomasz Kajdanowicz:
Representation learning in multiplex graphs: Where and how to fuse information? CoRR abs/2402.17906 (2024) - [i8]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 abs/2405.10745 (2024) - 2023
- [i7]Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz:
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. CoRR abs/2303.01926 (2023) - [i6]Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz:
Graph-level representations using ensemble-based readout functions. CoRR abs/2303.02023 (2023) - [i5]Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. CoRR abs/2310.18080 (2023) - 2021
- [i4]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
Graph Barlow Twins: A self-supervised representation learning framework for graphs. CoRR abs/2106.02466 (2021) - [i3]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 abs/2106.15529 (2021) - 2020
- [i2]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
AttrE2vec: Unsupervised Attributed Edge Representation Learning. CoRR abs/2012.14727 (2020) - 2019
- [i1]Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla:
Incremental embedding for temporal networks. CoRR abs/1904.03423 (2019)
Coauthor Index
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