Rampášek, Ladislav

1. Recipe for a General, Powerful, Scalable Graph Transformer
   2022/05/25 by Ladislav Rampášek, Rampášek, Ladislav, Mikhail Galkin +9 · 103 citations
   Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. LRGB: Long Range Graph Benchmark
   2022/06/16 by Vijay Prakash Dwivedi, Ladislav Rampášek, Dwivedi, Vijay Prakash +11 · 27 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
3. Attending to Graph Transformers
   2023/02/08 by Luis T. Díaz Müller, Mikhail Galkin, Müller, Luis +5 · 12 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Graph Theory and Algorithms
4. Graph Positional and Structural Encoder
   2023/07/14 by Semih Cantürk, Cantürk, Semih, Renming Liu +11 · 5 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Hierarchical graph neural nets can capture long-range interactions
   2021/07/15 by Rampášek, Ladislav, Wolf, Guy · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
   2022/11/18 by Masters, Dominic, Dean, Josef, Klaser, Kerstin +7 · 1 citation
   #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
7. Generative Active Learning for the Search of Small-molecule Protein Binders
   2024/05/02 by Korablyov, Maksym, Liu, Cheng-Hao, Jain, Moksh +31 · 1 citation
   #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)