Open-Source Projects
JediKG
Dataset extraction framework for neurosymbolic learning.
Features:
- Knowledge graph sampling
- Schema modularization
- Ontology reasoning
- Benchmark generation
GitHub: https://github.com/ara-t3/jedikg
PyKEEN-NS
Schema-aware negative sampling extension for PyKEEN.
Features:
- Static negative sampling
- Dynamic negative sampling
- Reproducible experimentation
- Ontology-guided corruption strategies
GitHub: https://github.com/ara-t3/pykeen-negative-sampling
TriQlet
Quantum metric learning framework built with PyTorch and Qiskit.
Features:
- Quantum Siamese Networks
- Modular ansatz design
- Quantum embedding layers
- Hybrid quantum-classical learning