scientificfamily
EGNN (E(n) Equivariant Graph Neural Network)
Graph neural network equivariant to Euclidean transformations, used for molecules and physical systems. Paper by Garcia Satorras et al. (2021).
Levelfamily
Classscientific
Parametersnot in the notes
Contextnot in the notes
Released19 Feb 2021
Opennessopen source
Runs onnot in the notes
Statusactive
Identity
- Developer
- University of Amsterdam
- Family
- not in the notes
- Released
- 19 Feb 2021 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 Equivariant to rotations, translations, reflections and permutations
- 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 authors' vgsatorras/egnn repository (MIT).
- 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
ModelEGNN (E(n) Equivariant Graph Neural Network)University of Amsterdam, scientific
EGNN (E(n) Equivariant Graph Neural Network)University of Amsterdam, scientificR&D TopicsEquivariant Graph Networks for Molecules
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
Sources
- arxiv.org/abs/2102.09844 https://arxiv.org/abs/2102.09844
- github.com/vgsatorras/egnn https://github.com/vgsatorras/egnn
- dgl.ai/dgl_docs/api/python/nn-pytorch.html https://www.dgl.ai/dgl_docs/api/python/nn-pytorch.html
- arxiv.org/html/2102.09844 https://arxiv.org/html/2102.09844
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "EGNN (E(n) Equivariant Graph Neural Network)", https://aurion.semai.id/models/egnn/, records of October 2026.