37 datasets found

The dataset used in the paper is a real-world dataset for future link prediction task on dynamic graphs.

The dataset used in the paper is Amazon clothing, Amazon-Electronics, and DBLP.

The TUDataset is a collection of benchmark datasets for learning with graphs. It contains 14 datasets, each with a different type of graph.

The dataset used in the paper is a binary time-series data, where each time step is a binary pattern. The data is generated from a mixture of multiple graphs with time-dependent...

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 link prediction benchmark dataset (Cora, PubMed, Disease, Airport) with a Gromov θ-hyperbolicity value.

A dataset for learning combinatorial optimization algorithms over graphs.

The dataset used in the paper is a Delaunay Triangulation with n vertices, where n ranges from 1000 to 10000.

The dataset is a random geometric graph with vertex set [n] based on n i.i.d. random vectors X1,..., Xn drawn from an unknown density f on Rd.

The dataset used in the paper is ER random graphs, which are generated by the Erdos-Renyi random graph model. The graphs are used to test the proposed β-VAE model for...

Real-world data generation often involves certain geometries (e.g., graphs) that induce instance-level interdependence.

Real-world data generation often involves certain geometries (e.g., graphs) that induce instance-level interdependence.

The dataset used in the paper consists of 10 different ER graphs with varying densities.

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 the paper is a graph, where each node represents a node in the graph and each edge represents a relation between nodes.

The dataset used in the paper is a graph, where each node represents a node in the graph and each edge represents a relation between nodes.

The dataset is a stream of attributed graphs, where each graph is a 3-tuple of matrices (A, X, E) representing the topology and attributes of the graph.

The dataset used in the paper is a collection of explicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and...

MOOC dataset is a collection of students' answer records on various knowledge concepts in computer science.