42 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used five tasks and ten graph datasets.

The dataset used in the experiments to evaluate the performance of the proposed ACMP model.

The dataset used in this paper is a collection of graphs for graph classification and graph signal classification tasks.

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.