34 datasets found

The dataset used in the paper is citation networks, including Cora, Citeseer, and Pubmed.

NELL is a large-scale, open knowledge graph that contains a vast amount of structured data.

The dataset used in this paper is a collection of 75,000 random graph instances for the training set and 200,000 instances for the test set, where each graph is a 2-layer...

A collection of public transport network data sets for 25 cities

A large dataset containing thousands of real-world networks ranging from genetic, protein interaction, and metabolic networks to brain, language, ecology, and social networks

Balanced clustering problems with an additional requirement as a tree-like structure over the obtained balanced clusters. This kind of clustering problems can be useful in some...

The dataset used in this paper is a synthetic dataset generated on random geometric graphs with different graph densities and sizes.

The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs.

The dataset used in the paper to evaluate the influence of graph elements on the parameter changes of GCNs without needing to retrain the GCNs.

The dataset used in the paper is a citation network, specifically the Cora, Citeseer, and PubMed datasets.

The Cora and Citeseer datasets are used for training machine learning models to classify documents into different categories.

The WikiCS article citation network is a dataset consisting of nodes corresponding to CS articles with edges based on hyperlinks and 10 classes representing different branches...

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...

Technological intellectual property data is generally composed of complex information like creative entities, resource entities, inter-entity relationships, and entity attributes.