The StellarGraph team is happy to announce the latest release of StellarGraph: 0.9.0!
StellarGraph is an open-source Python library implementing a variety of state-of-the-art graph machine learning algorithms. The project is delivered as part of CSIRO’s Data61.
- Relational-GCN (RGCN)
- Link prediction for full-batch models
Other Major Improvements/Fixes:
- Unsupervised GraphSAGE can now be used to create embeddings that are reproducible by fixing the appropriate random seeds.
datasetssubpackage provides easier access to sample datasets with inbuilt downloading
- Various usability and performance improvements for the
- Included as an experimental feature for now, is a way to construct a numpy/pandas based
StellarGraph. This will become the new default in favour of the NetworkX-based model in the near future, and should enable some significant performance benefits!
See the full release notes here.