# OxiRS Embed - TODO
*Version: 0.1.0 | Last Updated: 2026-01-06*
## Status: Production Ready
**oxirs-embed** provides knowledge graph embeddings with multiple models and comprehensive analytics capabilities.
### Features
- **Multiple Embedding Models** - TransE, DistMult, ComplEx, RotatE, TuckER, HolE, ConvE
- **Fine-Tuning Capabilities** - Transfer learning with knowledge distillation
- **Model Selection** - Intelligent recommendations based on dataset characteristics
- **Link Prediction** - Head/tail/relation prediction with evaluation metrics
- **Clustering Support** - K-Means, Hierarchical, DBSCAN, Spectral clustering
- **Community Detection** - Louvain, Label propagation, Girvan-Newman
- **Visualization** - PCA, t-SNE, UMAP, Random Projection
- **Interpretability** - Similarity analysis, feature importance, counterfactuals
- **Temporal Embeddings** - Time-aware knowledge graphs
- **Performance Optimization** - Mixed precision, quantization, GPU acceleration
- **408 tests passing** with zero warnings
## Future Roadmap
### v0.2.0 - Enhanced Models & Performance (Q1 2026 - Expanded)
- [ ] Additional embedding models (GraphSAGE, GAT)
- [ ] Enhanced GPU acceleration
- [ ] Distributed training support
- [ ] Advanced model ensemble methods
- [ ] Model serving infrastructure
- [ ] A/B testing framework
- [ ] Enhanced monitoring and observability
- [ ] Production deployment templates
### v1.0.0 - LTS Release (Q2 2026)
- [ ] Long-term support guarantees
- [ ] Enterprise features
- [ ] Comprehensive benchmarks
- [ ] Model zoo and pretrained models
## Contributing
See [CONTRIBUTING.md](../../CONTRIBUTING.md) for development guidelines.
---
*OxiRS Embed v0.1.0 - Knowledge graph embeddings*