ggfm.datasets.cora

class ggfm.datasets.cora(root: str | None = None, transform: Callable | None = None, pre_transform: Callable | None = None, force_reload: bool = False)

Bases: object

The Cora dataset is a widely used benchmark in graph neural network research, comprising 2,708 scientific publications in the field of machine learning. These publications are categorized into seven classes: Case-Based, Genetic Algorithms, Neural Networks, Probabilistic Methods, Reinforcement Learning, Rule Learning, and Theory. The dataset includes a citation network with 5,429 links, where each publication is represented by a 1, 433-dimensional binary feature vector indicating the presence or absence of specific words in the document.