Andreas Mayr

Johannes Kepler University of Linz — Austria

Computer Science · Physical Sciences

16h-index3.6kcitations34works3.52yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Computational Drug Discovery Methods(12), Gene expression and cancer classification(8), Machine Learning in Materials Science(7), Genomic variations and chromosomal abnormalities(5), Metabolomics and Mass Spectrometry Studies(4)

Publications34 total

VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Journal of Cheminformatics·2025· 4 citedOpen Access
Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification
2025Open Access
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
arXiv (Cornell University)·2025Open Access
Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
Scientific Reports·2024· 16 citedOpen Access
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging
2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
arXiv (Cornell University)·2024· 1 citedOpen Access
Learning 3D Granular Flow Simulations
arXiv (Cornell University)·2021· 1 citedOpen Access
Cross-Domain Few-Shot Learning by Representation Fusion
arXiv (Cornell University)·2020· 23 citedOpen Access
Industry-scale application and evaluation of deep learning for drug target prediction
Journal of Cheminformatics·2020· 52 citedOpen Access
Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks
SSRN Electronic Journal·2020· 13 citedOpen Access
Industry-scale Application and Evaluation of Deep Learning for Drug Target Prediction
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
Industry-scale Application and Evaluation of Deep Learning for Drug Target Prediction
Figshare·2019Open Access
Industry-scale Application and Evaluation of Deep Learning for Drug Target Prediction
2019Open Access
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
Journal of Chemical Information and Modeling·2018· 39 cited
Application of Bioactivity Profile Based Fingerprints for Building Machine Learning Models
2018· 3 citedOpen Access
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
Chemical Science·2018· 579 citedOpen Access
DeepTox: Toxicity prediction using deep learning
Toxicology Letters·2017· 43 cited
Self-Normalizing Neural Networks
arXiv (Cornell University)·2017· 515 citedOpen Access
Speeding up Semantic Segmentation for Autonomous Driving
2016· 264 cited
DeepTox: Toxicity Prediction using Deep Learning
Frontiers in Environmental Science·2016· 986 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Sepp Hochreiter(26), Günter Klambauer(24), Djork-Arné Clevert(10), Thomas Unterthiner(9), Andreas Mitterecker(7), Noé Sturm(6), Yves Vandriessche(6), Ola Engkvist(6), Hongming Chen(6), Jörg K. Wegner(5), Hugo Ceulemans(5), Willem Talloen(5), Hinrich W. H. Göhlmann(5), J. Brandstetter(5), Thanh Le Van(4), Vladimir Chupakhin(4), Jose-Felipe Golib-Dzib(4), Nina Jeliazkova(4), Stanislav Böhm(4), Vojtěch Cima(4)