Co-author-Physics
Emerging1papers using it
2021first seen
The 'Co-author-Physics' dataset is a benchmark used to evaluate the performance of Graph Neural Networks by providing a collection of co-authorship relationships in the field of physics.
The 'Co-author-Physics' dataset is a benchmark used to evaluate the performance of Graph Neural Networks by providing a collection of co-authorship relationships in the field of physics.