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Package for 'Towards better dynamic link prediction' paper at NeurIPS 2022, the code provides download, processing, dataloading and evaluation code for a suite of dynamic graph datasets.
pip install dgb
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==0.1.0==3.4==0.5.1==1.0.1==1.2.0==1.23.4==1.5.1==2.8.2==2022.6==2.28.1==1.1.3==1.9.3==1.13.0==4.64.1==1.26.12==3.2==1.3.4==1.16.0==3.1.0==4.4.0dgb publishes 1 wheel and 1 source archive for version 0.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .