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REDDIT-BINARY
reddit-based datasets (Yanardag & Vishwanathan, 2015) depict user responses in an online discussion. -
CORA, Citeseer, Pubmed, OGB arXiv
CORA, Citeseer, Pubmed, OGB arXiv -
ogbn-products
Graph Neural Networks (GNNs) have become a popular approach for various applications, ranging from social network analysis to modeling chemical properties of molecules. -
CFI Graphs
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
Open Graph Benchmark: Datasets for machine learning on graphs. -
Collab dataset
The dataset used in the paper is the Collab dataset. -
IMDB-Binary dataset
The IMDB-Binary dataset is a graph neural network dataset. -
Enzymes dataset
The dataset used in the paper is the Enzymes dataset. -
Proteins dataset
The Proteins dataset is a graph neural network dataset. -
Cora citation network
The Cora citation network dataset is used to evaluate the performance of graph embedding methods on real-world data. -
ogbg-molhiv
ogbg-molhiv dataset is a graph classification dataset containing 41k molecules. -
Open Graph Benchmark
Open Graph Benchmark (OGB) dataset contains many large-scale benchmark datasets. -
Benchmark: Datasets for Machine Learning on Graphs
Benchmarking graph neural networks. -
Graph-ModelNet40, Graph-ModelNet10, Graph-ShapeNet Part
Graph-ModelNet40, Graph-ModelNet10, Graph-ShapeNet Part are graph datasets constructed for graph classification task. -
Synthetic dataset for GRAPHSHAP benchmarking
A synthetic dataset generated for benchmarking GRAPHSHAP, consisting of graphs with controlled motifs injection. -
Graph Classification Benchmark
The dataset is used for testing the proposed TopNets architecture on graph classification tasks.