Project AURIONAI Use-Cases Research & Innovation
graphfamily

Graphormer

Graph transformer from Microsoft, positioned by its repository as a general deep learning backbone for molecular modelling. Paper by Ying et al. (2021).

Microsoft AI
Levelfamily
Classgraph
Parametersnot in the notes
Contextnot in the notes
Released9 Jun 2021
Opennessopen source
Runs onnot in the notes
Statusactive

Lineage

Microsoft AIGraphormer base (PCQM4Mv2) belongs to this familygraph5 Jan 2023
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Microsoft AI
Family
not in the notes
Released
9 Jun 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
dense transformer Transformer with structural encodings of graphs
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
graph
Output
graph
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 microsoft/Graphormer 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.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2106.05234 https://arxiv.org/abs/2106.05234
  2. github.com/microsoft/Graphormer https://github.com/microsoft/Graphormer
  3. dgl.ai/dgl_docs/api/python/nn-pytorch.html https://www.dgl.ai/dgl_docs/api/python/nn-pytorch.html

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Graphormer", https://aurion.semai.id/models/microsoft-graphormer/, records of October 2026.