22 datasets found

COMPUTER dataset (Shchur et al., 2018) is part of the Amazon co-purchasing graph.

PHOTO and COMPUTER datasets (Shchur et al., 2018) are part of the Amazon co-purchasing graph.

The dataset used in the paper is a real-world dataset for future link prediction task on dynamic graphs.

reddit-based datasets (Yanardag & Vishwanathan, 2015) depict user responses in an online discussion.

CORA, Citeseer, Pubmed, OGB arXiv

Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules.

The CFI graphs dataset is a dataset of graphs generated from the Cai-Fürer-Immerman (CFI) construction.

Open Graph Benchmark: Datasets for machine learning on graphs.

PTC is a molecular dataset where molecules are classified according to their carcinogenicity on rodents.

COX2 is a molecular dataset where every graph is classified into one of two classes.

Graph-ModelNet40, Graph-ModelNet10, Graph-ShapeNet Part are graph datasets constructed for graph classification task.

MUTAG, NCI1, PTC, PROTEINS, IMDB-BINARY and IMDB-MULTI datasets are graph classification datasets.

The REDDIT-BINARY dataset contains 2,000 graphs labeled as question/answer-based or discussion-based community in the content-aggregation website Reddit.

Graph classification and node classification datasets

Graph classification and node classification datasets

Graph classification and node classification datasets

The TRIANGLES dataset contains ten different graph classes, corresponding to the number of triangles in each graph in the dataset.

The ENZYMES dataset contains 600 proteins from each of the 6 Enzyme Commission top-level enzyme classes (EC classes) and the goal was to correctly predict enzyme class...

CoraFull is an extension of the prevalent dataset Cora from the entire citation network.

The MUTAG, PTC-MR, PROTEIN, ENZYMES, IMDB-B, and IMDB-M datasets are used to evaluate the performance of the proposed GNAE model.