29 datasets found

The dataset used in this paper is a probabilistic logic programming dataset, which is a probabilistic version of the Genes dataset.

The dataset used in the paper is the U.S. airport network.

A dataset for vehicular networks

The dataset used in this paper is a matrix-weighted network with n agents, each of dimension d. The network is structurally imbalanced and has a unique non-trivial balancing set.

A dataset for generative network models that exhibit predefined ambiguity in their mesoscale structure.

The dataset used in the paper is a Kuramoto network with homogeneous and heterogeneous natural frequencies.

The dataset used in the paper is a synthetic network generated under four network models: SBM, DCBM, RDPG, and latent space model.

The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation.

The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation.

The dataset used in this paper is a collection of real-world graph datasets from various domains, including biological networks, social networks, and collaboration networks.

The dataset used in the paper is a protein interaction network with 82 nodes, where each node has a classification of one of 6 experimental modifications observed from the...

The dataset used in the paper is a microbiome subject similarity network with 121 nodes, where each node has a 130-dimensional vector of attributes (counts)

The dataset used in the paper is a synthetic network with 200 nodes and 4 communities, parameterized as follows: p(Aij = 1) ∼ Bernoulli(.10), Bernoulli(.25), if zi (cid:54)= zj...

The dataset used in the paper is a link prediction benchmark dataset (Cora, PubMed, Disease, Airport) with a Gromov θ-hyperbolicity value.

The dataset used in the paper is heterogeneous graphs, including ACM citation network and IMDB movie network.

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