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Author:
None
License:
MIT
Summary:
GPU-Accelerated RDF2Vec – A high-performance GPU implementation of RDF2Vec that uses CUDA and RAPIDS to generate scalable, embeddings for large dense knowledge graphs.
Latest version:
0.3.0
Required dependencies:
cudf-cu12
|
cugraph-cu12
|
dask
|
dask-cudf-cu12
|
lightning
|
loguru
|
numpy
|
pydantic
|
rdflib
|
tables
|
torch
|
tqdm
Optional dependencies:
mlflow-skinny
|
pytest
|
pytest-cov
|
wandb
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