35 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.

The dataset used in the paper is the Collab dataset.

The IMDB-Binary dataset is a graph neural network dataset.

The dataset used in the paper is the Enzymes dataset.

The Proteins dataset is a graph neural network dataset.

The Cora citation network dataset is used to evaluate the performance of graph embedding methods on real-world data.

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

ogbg-molhiv dataset is a graph classification dataset containing 41k molecules.

Open Graph Benchmark (OGB) dataset contains many large-scale benchmark datasets.

Benchmarking graph neural networks.

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

A synthetic dataset generated for benchmarking GRAPHSHAP, consisting of graphs with controlled motifs injection.

The dataset is used for testing the proposed TopNets architecture on graph classification tasks.