Günter Klambauer

Günter Klambauer

Johannes Kepler Universität Linz

H-index: 38

Europe-Austria

About Günter Klambauer

Günter Klambauer, With an exceptional h-index of 38 and a recent h-index of 37 (since 2020), a distinguished researcher at Johannes Kepler Universität Linz, specializes in the field of machine learning, chemoinformatics, deep learning, drug design, bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A community effort in SARS‐CoV‐2 drug discovery

VN-EGNN: E (3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks

Principled Weight Initialisation for Input-Convex Neural Networks

HyperPCM: Robust Task-Conditioned Modeling of Drug–Target Interactions

Learning Retinal Representations from Multi-modal Imaging via Contrastive Pre-training

Context-enriched molecule representations improve few-shot drug discovery

Quantification of Uncertainty with Adversarial Models

Günter Klambauer Information

University

Position

Researcher LIT AI Lab & Institute for Machine Learning

Citations(all)

19650

Citations(since 2020)

18036

Cited By

4137

hIndex(all)

38

hIndex(since 2020)

37

i10Index(all)

58

i10Index(since 2020)

55

Email

University Profile Page

Johannes Kepler Universität Linz

Google Scholar

View Google Scholar Profile

Günter Klambauer Skills & Research Interests

machine learning

chemoinformatics

deep learning

drug design

bioinformatics

Top articles of Günter Klambauer

Title

Journal

Author(s)

Publication Date

A community effort in SARS‐CoV‐2 drug discovery

Molecular Informatics

Johannes Schimunek

Philipp Seidl

Katarina Elez

Tim Hempel

Tuan Le

...

2024/1

VN-EGNN: E (3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification

arXiv preprint arXiv:2404.07194

Florian Sestak

Lisa Schneckenreiter

Johannes Brandstetter

Sepp Hochreiter

Andreas Mayr

...

2024/4/10

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks

arXiv preprint arXiv:2403.04747

Lisa Schneckenreiter

Richard Freinschlag

Florian Sestak

Johannes Brandstetter

Günter Klambauer

...

2024/3/7

Principled Weight Initialisation for Input-Convex Neural Networks

Advances in Neural Information Processing Systems

Pieter-Jan Hoedt

Günter Klambauer

2024/2/13

HyperPCM: Robust Task-Conditioned Modeling of Drug–Target Interactions

Journal of Chemical Information and Modeling

Emma Svensson

Pieter-Jan Hoedt

Sepp Hochreiter

Günter Klambauer

2024/1/7

Learning Retinal Representations from Multi-modal Imaging via Contrastive Pre-training

Emese Sükei

Elisabeth Rumetshofer

Niklas Schmidinger

Ursula Schmidt-Erfurth

Günter Klambauer

...

2023/4/28

Context-enriched molecule representations improve few-shot drug discovery

Johannes Schimunek

Philipp Seidl

Lukas Friedrich

Daniel Kuhn

Friedrich Rippmann

...

2023

Quantification of Uncertainty with Adversarial Models

Advances in Neural Information Processing Systems

Kajetan Schweighofer

Lukas Aichberger

Mykyta Ielanskyi

Günter Klambauer

Sepp Hochreiter

2023/12/15

Introduction to the Special Issue: AI Meets Toxicology

Günter Klambauer

Djork-Arné Clevert

Imran Shah

Emilio Benfenati

Igor V Tetko

2023/8/21

A community effort to discover small molecule SARS-CoV-2 inhibitors

Johannes Schimunek

Philipp Seidl

Katarina Elez

Tim Hempel

Tuan Le

...

2023/4/7

ELENAS: Elementary Neural Architecture Search

Lukas Aichberger

Günter Klambauer

2023/8/15

Enhancing activity prediction models in drug discovery with the ability to understand human language

Philipp Seidl

Andreu Vall

Sepp Hochreiter

Günter Klambauer

2023/7/3

Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

Nature Computational Science

Philippe A Robert

Rahmad Akbar

Robert Frank

Milena Pavlović

Michael Widrich

...

2022/12

Domain shifts in machine learning based Covid-19 diagnosis from blood tests

Journal of Medical Systems

Theresa Roland

Carl Böck

Thomas Tschoellitsch

Alexander Maletzky

Sepp Hochreiter

...

2022/3/29

Improving few-and zero-shot reaction template prediction using modern hopfield networks

Philipp Seidl

Philipp Renz

Natalia Dyubankova

Paulo Neves

Jonas Verhoeven

...

2022/1/15

CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures

Nature Communications

Ana Sanchez-Fernandez

Elisabeth Rumetshofer

Sepp Hochreiter

Günter Klambauer

2023/11/13

Normalization is dead, long live normalization

Pieter-Jan Hoedt

Sepp Hochreiter

Günter Klambauer

2022

Robust task-specific adaption of models for drug-target interaction prediction

Emma Svensson

Pieter-Jan Hoedt

Sepp Hochreiter

Günter Klambauer

2022/10/21

In silico proof of principle of machine learning-based antibody design at unconstrained scale

MAbs

Rahmad Akbar

Philippe A Robert

Cédric R Weber

Michael Widrich

Robert Frank

...

2022/12/31

Artificial intelligence meets toxicology

Igor V Tetko

Günter Klambauer

Djork-Arné Clevert

Imran Shah

Emilio Benfenati

2022/8/15

See List of Professors in Günter Klambauer University(Johannes Kepler Universität Linz)

Co-Authors

H-index: 58
Sepp Hochreiter

Sepp Hochreiter

Johannes Kepler Universität Linz

H-index: 8
Martin Heusel

Martin Heusel

Johannes Kepler Universität Linz

H-index: 7
Andreas Mitterecker

Andreas Mitterecker

Johannes Kepler Universität Linz

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