Knowledge Embedding Kit
This library provides helpful functions and sampling for KGE learning. The data processing part is strictly research-oriented.
Requirements:
- C++17 compilers
Features
- Eficient data representation in C++ and interoperability in Python by pybind11.
- Triple data IO, processing and extraction.
- Various sampling methods.
1 maintainer
Metadata
1 maintainer
Release files for kgekit 0.24.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kgekit-0.24.0.tar.gz | 40.7 kB | Details |
Release files / kgekit-0.24.0.tar.gz
| Download URL | kgekit-0.24.0.tar.gz |
|---|---|
| Size | 40.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3
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