Ladislav Rampásek

23 papers A* 3Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Attending to Graph Transformers.
Trans. Mach. Learn. Res.
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
2024 J jnl
Generative Active Learning for the Search of Small-molecule Protein Binders.
CoRR
Maksym Korablyov, Cheng-Hao Liu, Moksh Jain, Almer M. van der Sloot, Eric Jolicoeur, Edward Ruediger, Andrei Cristian Nica, Emmanuel Bengio, Kostiantyn Lapchevskyi, Daniel St-Cyr, Doris Alexandra Schuetz, Victor Ion Butoi, Jarrid Rector-Brooks, Simon Blackburn, Leo Feng, Hadi Nekoei, Sai Krishna Gottipati, Priyesh Vijayan, Prateek Gupta, Ladislav Rampásek, Sasikanth Avancha, Pierre-Luc Bacon, William L. Hamilton, Brooks Paige, Sanchit Misra, Stanislaw Kamil Jastrzebski, Bharat Kaul, Doina Precup, José Miguel Hernández-Lobato, Marwin H. S. Segler, Michael M. Bronstein, Anne Marinier, Mike Tyers, Yoshua Bengio
2024 A* conf
Graph Positional and Structural Encoder.
ICML
Semih Cantürk, Renming Liu, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2023 J jnl
Attending to Graph Transformers.
CoRR
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
2023 J jnl
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction.
CoRR
Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini
2023 J jnl
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction.
Trans. Mach. Learn. Res.
Dominic Masters, Josef Dean, Kerstin Kläser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W. Fitzgibbon, Shenyang Huang, Ladislav Rampásek, Dominique Beaini
2023 J jnl
Graph Positional and Structural Encoder.
CoRR
Renming Liu, Semih Cantürk, Olivier Lapointe-Gagné, Vincent Létourneau, Guy Wolf, Dominique Beaini, Ladislav Rampásek
2022 J jnl
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction.
CoRR
Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Rampásek, Dominique Beaini
2022 A* conf
Long Range Graph Benchmark.
NeurIPS
Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 J jnl
Long Range Graph Benchmark.
CoRR
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 A* conf
Recipe for a General, Powerful, Scalable Graph Transformer.
NeurIPS
Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 J jnl
Recipe for a General, Powerful, Scalable Graph Transformer.
CoRR
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 — conf
Taxonomy of Benchmarks in Graph Representation Learning.
LoG
Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2022 J jnl
Taxonomy of Benchmarks in Graph Representation Learning.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2021 — conf
Hierarchical Graph Neural Nets can Capture Long-Range Interactions.
MLSP
Ladislav Rampásek, Guy Wolf
2021 J jnl
Hierarchical graph neural nets can capture long-range interactions.
CoRR
Ladislav Rampásek, Guy Wolf
2021 J jnl
Towards a Taxonomy of Graph Learning Datasets.
CoRR
Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek
2020 — —
Latent-variable models for drug response prediction and genetic testing.
Ladislav Rampásek
2019 J jnl
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects.
Bioinform.
Ladislav Rampásek, Daniel Hidru, Petr Smirnov, Benjamin Haibe-Kains, Anna Goldenberg
2017 J jnl
Dropout Feature Ranking for Deep Learning Models.
CoRR
Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg
2016 J jnl
Cell-free DNA fragment-size distribution analysis for non-invasive prenatal CNV prediction.
Bioinform.
Aryan Arbabi, Ladislav Rampásek, Michael Brudno
2016 J jnl
RNA motif search with data-driven element ordering.
BMC Bioinform.
Ladislav Rampásek, Randi M. Jimenez, Andrej Lupták, Tomás Vinar, Brona Brejová
2014 J jnl
Probabilistic method for detecting copy number variation in a fetal genome using maternal plasma sequencing.
Bioinform.
Ladislav Rampásek, Aryan Arbabi, Michael Brudno