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SRG(25, 12, 5, 6)
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
RandomGraph
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
Beyond 1-WL with Local Ego-Network Encodings
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets. -
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. -
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for machine learning on graphs. -
IMDB-Binary dataset
The IMDB-Binary dataset is a graph neural network dataset. -
Proteins dataset
The Proteins dataset is a graph neural network dataset. -
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. -
Haar Graph Pooling
Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks. In these tasks, graph pooling is a critical ingredient by which... -
ogbn-arxiv
The ogbn-arxiv dataset is a citation network dataset, which is a directed graph, denoting the citation network between all Computer Science (CS) arXiv papers extracted from the...
