scientificfamily
DimeNet and DimeNet++
Directional message passing networks for molecular graphs that use distances and angles between atoms. Paper by Gasteiger et al. (2020).
Levelfamily
Classscientific
Parametersnot in the notes
Contextnot in the notes
Released6 Mar 2020
Opennessopen source
Runs onnot in the notes
Statusactive
Identity
- Developer
- Technical University of Munich
- Family
- not in the notes
- Released
- 6 Mar 2020 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- GNN Directional message passing using bond angles
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- molecule
- Output
- molecule
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- MIT License sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- Licence is that of the PyTorch Geometric implementation (MIT). DimeNet++ (arXiv 2011.14115, 28 Nov 2020) is the faster successor.
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
ModelDimeNet and DimeNet++Technical University of Munich, scientific
DimeNet and DimeNet++Technical University of Munich, scientificR&D TopicsEquivariant Graph Networks for Molecules
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- arxiv.org/abs/2003.03123 https://arxiv.org/abs/2003.03123
- arxiv.org/abs/2011.14115 https://arxiv.org/abs/2011.14115
- GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch github.com https://github.com/pyg-team/pytorch_geometric
- pytorch-geometric.readthedocs.io/en/latest/modules/nn.html https://pytorch-geometric.readthedocs.io/en/latest/modules/nn.html
- arxiv.org/html/2003.03123 https://arxiv.org/html/2003.03123
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DimeNet and DimeNet++", https://aurion.semai.id/models/dimenet/, records of October 2026.