Tomasz Danel - RankMe

30 papers A* 3A 2B 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Enhancing Chemical Explainability Through Counterfactual Masking. AAAI Lukasz Janisiów, Marek Kochanczyk, Bartosz Michal Zielinski, Tomasz Danel
2025	J	`jnl`	B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data. CoRR Magdalena Proszewska, Tomasz Danel, Dawid Rymarczyk
2025	J	`jnl`	Enhancing Chemical Explainability Through Counterfactual Masking. CoRR Lukasz Janisiów, Marek Kochanczyk, Bartosz Zielinski, Tomasz Danel
2025	—	`conf`	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset. ICCS (1) Adam Sulek, Jakub Klimczak, Jakub Jonczyk, Tomasz Kosciólek, Tomasz Danel, Barbara Pucelik
2025	J	`jnl`	Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis. CoRR Sebastian Musial, Bartosz Zielinski, Tomasz Danel
2025	A*	`conf`	KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors. ICML Benson Chen, Tomasz Danel, Gabriel H. S. Dreiman, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Kent Gorday, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, R. Edward Watts
2025	J	`jnl`	PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks. J. Chem. Inf. Model. Hubert Rybka, Tomasz Danel, Sabina Podlewska
2025	J	`jnl`	Qsarna: An Online Tool for Smart Chemical Space Navigation in Drug Design. J. Chem. Inf. Model. Marcin Cieslak, Jan Leski, Olga Krzysztynska-Kuleta, Justyna Kalinowska-Tluscik, Tomasz Danel
2024	J	`jnl`	Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. Lukasz Struski, Michal Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
2024	J	`jnl`	KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors. CoRR Benson Chen, Tomasz Danel, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Gabriel H. S. Dreiman, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, Edward Raff
2024	J	`jnl`	Relative molecule self-attention transformer. J. Cheminformatics Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2023	J	`jnl`	Docking-based generative approaches in the search for new drug candidates. CoRR Tomasz Danel, Jan Leski, Sabina Podlewska, Igor T. Podolak
2023	J	`jnl`	Extended study on atomic featurization in graph neural networks for molecular property prediction. J. Cheminformatics Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Lukasz Maziarka
2023	J	`jnl`	Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark. J. Chem. Inf. Model. Tobiasz Cieplinski, Tomasz Danel, Sabina Podlewska, Stanislaw Jastrzebski
2023	A	`conf`	ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. SDM Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
2023	A	`conf`	SONGs: Self-Organizing Neural Graphs. WACV Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2022	A*	`conf`	HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). AAAI Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski
2022	J	`jnl`	ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction. CoRR Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
2021	B	`conf`	Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. IJCNN Agnieszka Pocha, Tomasz Danel, Sabina Podlewska, Jacek Tabor, Lukasz Maziarka
2021	B	`conf`	Multitask Learning Using BERT with Task-Embedded Attention. IJCNN Lukasz Maziarka, Tomasz Danel
2021	J	`jnl`	Relative Molecule Self-Attention Transformer. CoRR Lukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gainski, Jacek Tabor, Igor T. Podolak, Pawel M. Morkisz, Stanislaw Jastrzebski
2021	J	`jnl`	SONG: Self-Organizing Neural Graphs. CoRR Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction. CoRR Agnieszka Pocha, Tomasz Danel, Lukasz Maziarka
2020	J	`jnl`	Mol-CycleGAN: a generative model for molecular optimization. J. Cheminformatics Lukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk, Krzysztof Rataj, Tomasz Danel, Michal Warchol
2020	J	`jnl`	Molecule Attention Transformer. CoRR Lukasz Maziarka, Tomasz Danel, Slawomir Mucha, Krzysztof Rataj, Jacek Tabor, Stanislaw Jastrzebski
2020	—	`conf`	Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	J	`jnl`	Processing of incomplete images by (graph) convolutional neural networks. CoRR Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	—	`conf`	Spatial Graph Convolutional Networks. ICONIP (5) Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2020	J	`jnl`	We should at least be able to Design Molecules that Dock Well. CoRR Tobiasz Cieplinski, Tomasz Danel, Sabina Podlewska, Stanislaw Jastrzebski
2019	J	`jnl`	Geometric Graph Convolutional Neural Networks. CoRR Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka