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GitHub / PaddlePaddle / PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PaddlePaddle%2FPGL

Stars: 1,559
Forks: 307
Open Issues: 56

License: apache-2.0
Language: Python
Repo Size: 28.3 MB
Dependencies: 59

Created: almost 5 years ago
Updated: 25 days ago
Last pushed: 5 months ago
Last synced: 24 days ago

Commit Stats

Commits: 985
Authors: 38
Mean commits per author: 25.92
Development Distribution Score: 0.806
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/PaddlePaddle/PGL

Topics: graph, graph-learning, graph-neural-network, heterogeneous-graph-learning, metapath

Files
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    Readme
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    Dependencies
    docs/requirements.txt pypi
    legacy/docs/requirements.txt pypi
    legacy/examples/distribute_graphsage/redis_setup/src/requirements.txt pypi
    legacy/examples/distribute_graphsage/requirements.txt pypi
    legacy/examples/strucvec/requirements.txt pypi
    legacy/requirements.txt pypi
    ogb_examples/nodeproppred/ogbn-arxiv/unimp_appnp_vnode_smooth/requirements.txt pypi
    ogb_examples/nodeproppred/unimp/requirements.txt pypi
    requirements.txt pypi
    .github/workflows/build_and_upload_PyPI.yml actions
    .github/workflows/manully_test_PYPI.yml actions
    apps/PGLBox/docker/Dockerfile docker