Johannes Gasteiger

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Graph Representation

Message Passing

Long Range Correlations

Top Venues

Mach. Learn. Sci. Technol.

Publications

Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Johannes Gasteiger, Stephan Günnemann
Attacking Large Language Models with Projected Gradient Descent. CoRR (2024)
Jan Schuchardt, Aleksandar Bojchevski, Johannes Gasteiger, Stephan Günnemann
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. CoRR (2023)
Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger
Accelerating Molecular Graph Neural Networks via Knowledge Distillation. CoRR (2023)
Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni
SubMix: Learning to Mix Graph Sampling Heuristics. UAI (2023)
Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
Challenges with unsupervised LLM knowledge discovery. CoRR (2023)
Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann
Ewald-based Long-Range Message Passing for Molecular Graphs. CoRR (2023)
Filip Ekström Kelvinius, Dimitar Georgiev, Artur P. Toshev, Johannes Gasteiger
Accelerating Molecular Graph Neural Networks via Knowledge Distillation. NeurIPS (2023)
Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann
Ewald-based Long-Range Message Passing for Molecular Graphs. ICML (2023)
Johannes Gasteiger, Chendi Qian, Stephan Günnemann
Influence-Based Mini-Batching for Graph Neural Networks. LoG (2022)
Sina Stocker, Johannes Gasteiger, Florian Becker, Stephan Günnemann, Johannes T. Margraf
How robust are modern graph neural network potentials in long and hot molecular dynamics simulations? Mach. Learn. Sci. Technol. 3 (4) (2022)
Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
How Do Graph Networks Generalize to Large and Diverse Molecular Systems? CoRR (2022)
Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary W. Ulissi, C. Lawrence Zitnick, Abhishek Das
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets. Trans. Mach. Learn. Res. 2022 (2022)
Johannes Gasteiger, Chendi Qian, Stephan Günnemann
Influence-Based Mini-Batching for Graph Neural Networks. CoRR (2022)
Johannes Gasteiger, Florian Becker, Stephan Günnemann
GemNet: Universal Directional Graph Neural Networks for Molecules. NeurIPS (2021)
Johannes Gasteiger, Chandan Yeshwanth, Stephan Günnemann
Directional Message Passing on Molecular Graphs via Synthetic Coordinates. NeurIPS (2021)