Research output per year
Research output per year
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LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
Sestak, F., Toshev, A. P., Fürst, A., Klambauer, G., Mayr, A. & Brandstetter, J., 17 Feb 2025, 41 p.Research output: Working paper and reports › Preprint
Open Access -
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Schneckenreiter, L., Freinschlag, R., Sestak, F., Brandstetter, J., Klambauer, G. & Mayr, A., Mar 2024, International Conference On Learning Representations (ICLR 2024). 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Sestak, F., Schneckenreiter, L., Brandstetter, J., Hochreiter, S., Mayr, A. & Klambauer, G., 2024, 28 p. (arXiv.org).Research output: Working paper and reports › Preprint
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VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Sestak, F., Schneckenreiter, L., Hochreiter, S., Mayr, A. & Klambauer, G., 2023, Conference Neural Information Processing Systems Foundation (NeurIPS 2023), Workshop on Machine Learning in Structural Biology. 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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VN-EGNN: Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Sestak, F., Schneckenreiter, L., Hochreiter, S., Mayr, A. & Klambauer, G., 2023, ELLIS Workshop, Advancing Molecular Machine Learning - Overcoming Limitations, virtuell Dezember 2023. 16 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review