machine-learning-with-graph

View on PyPIReverse Dependencies (0)

0.0.3 machine_learning_with_graph-0.0.3-py3-none-any.whl

Wheel Details

Project: machine-learning-with-graph
Version: 0.0.3
Filename: machine_learning_with_graph-0.0.3-py3-none-any.whl
Download: [link]
Size: 15275
MD5: 815ec584aad4cb9581c04a48f7d73f9b
SHA256: 8161ad7b5b4568b697378780601098d21deb8872d704398271f3bf9f7f6ae539
Uploaded: 2023-12-11 02:17:35 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: machine-learning-with-graph
Version: 0.0.3
Summary: A comprehensive package for graph-based machine learning algorithms.
Author: Susheel Gounder and Parikshit Urs
Author-Email: susheelg1107[at]gmail.com
Home-Page: https://github.com/yourusername/machine-learning-with-graph
Project-Url: Bug Reports, https://github.com/susheelg1197/machine-learning-with-graph/issues
Project-Url: Source, https://github.com/susheelg1197/machine-learning-with-graph
License: MIT
Keywords: graph neural networks machine learning GNN GCN GAT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Requires-Dist: certifi (==2023.11.17)
Requires-Dist: charset-normalizer (==3.3.2)
Requires-Dist: colorama (==0.4.6)
Requires-Dist: dgl (==1.1.2)
Requires-Dist: filelock (==3.13.1)
Requires-Dist: fsspec (==2023.12.0)
Requires-Dist: gensim (==4.3.2)
Requires-Dist: idna (==3.6)
Requires-Dist: iniconfig (==2.0.0)
Requires-Dist: Jinja2 (==3.1.2)
Requires-Dist: joblib (==1.3.2)
Requires-Dist: MarkupSafe (==2.1.3)
Requires-Dist: mpmath (==1.3.0)
Requires-Dist: networkx (==3.2.1)
Requires-Dist: numpy (==1.26.2)
Requires-Dist: packaging (==23.2)
Requires-Dist: pluggy (==1.3.0)
Requires-Dist: psutil (==5.9.6)
Requires-Dist: pytest (==7.4.3)
Requires-Dist: requests (==2.31.0)
Requires-Dist: scikit-learn (==1.3.2)
Requires-Dist: scipy (==1.11.4)
Requires-Dist: smart-open (==6.4.0)
Requires-Dist: sympy (==1.12)
Requires-Dist: threadpoolctl (==3.2.0)
Requires-Dist: torch (==2.1.1)
Requires-Dist: tqdm (==4.66.1)
Requires-Dist: typing-extensions (==4.8.0)
Requires-Dist: urllib3 (==2.1.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2779 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
ml-wg/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/classification/graph_kernels.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/classification/wl_kernel.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/clustering/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/clustering/hierarchical.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/clustering/modularity_based.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/clustering/spectral.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/embedding/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/embedding/deepwalk.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/embedding/line.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/embedding/node2vec.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/gnn/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/gnn/gae.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/gnn/gat.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/gnn/gcn.py sha256=saJHaXX0tM-SI4Y_dYv143zW5flL6arzbvuBZ7PARnQ 1762
ml-wg/gnn/generative.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/gnn/grn.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/link_prediction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/link_prediction/adamic_adar.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/link_prediction/common_neighbors.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml-wg/link_prediction/matrix_factorization.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/utils.py sha256=C3Oiaea3l8lfOZ0PTLuIA_jZ7Jp4-FQGxhlvv8KyGGQ 447
ml_wg/classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/classification/graph_kernels.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/classification/wl_kernel.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/clustering/__init__.py sha256=rUQN8YyRNEc0c_WZDeI__0P8wq-3nzJPiXRK9Bajtu4 503
ml_wg/clustering/hierarchical.py sha256=t43vMAVcPjcR8zhx2a2W81eGmMbA0BdjipeKiXJSuMo 722
ml_wg/clustering/modularity_based.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/clustering/spectral.py sha256=dDxSc1Qon2Q085PYVDFHeFCQgDu3CYsXbrfpgq__NJk 769
ml_wg/embedding/__init__.py sha256=Sr1V8I4a_F8wcEXXhgyACifGX8PXgR_EyXi9qA2Bfpw 477
ml_wg/embedding/deepwalk.py sha256=KejZ4Pv5a-wKbDQBd4Z7K-sZ6vlQHrLwVZqEtC6gHbw 1323
ml_wg/embedding/line.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/embedding/node2vec.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/gnn/__init__.py sha256=w5qoE1Ku2dvMDsuvtmTr8bR4GDZDHQ9wJ1dp6fmvz4c 521
ml_wg/gnn/gae.py sha256=uHHmiHBVDgq6dT7GTZznSBljLc_0HunTFJed8aER1Ag 661
ml_wg/gnn/gat.py sha256=R7qe80ci7K_Q_gJGkhrZIbDS9vL_kTtQWt652Gfch2E 2932
ml_wg/gnn/gcn.py sha256=saJHaXX0tM-SI4Y_dYv143zW5flL6arzbvuBZ7PARnQ 1762
ml_wg/gnn/generative.py sha256=tYMSOIEmsjV7JAsafW5VzLWSj0ILcqYEPSzoWRFVf8U 860
ml_wg/gnn/grn.py sha256=532OYeI_zUjTlZlsBBsc9sxaVXUqbwvUnSB4Swem_QA 178
ml_wg/link_prediction/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/link_prediction/adamic_adar.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/link_prediction/common_neighbors.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_wg/link_prediction/matrix_factorization.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
machine_learning_with_graph-0.0.3.dist-info/LICENSE sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
machine_learning_with_graph-0.0.3.dist-info/METADATA sha256=h5Aws44bQPo5UpAydC467yqBQx5wQoYRWJxNANt6FK4 4962
machine_learning_with_graph-0.0.3.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
machine_learning_with_graph-0.0.3.dist-info/top_level.txt sha256=E9z9GsOpJfwqE6fV9U8YgQwmxLuypMhJBobpoCZb1DU 6
machine_learning_with_graph-0.0.3.dist-info/RECORD

top_level.txt

ml_wg