32 datasets found

The dataset used for training and evaluation of the GraphLlava model, consisting of graphs with textual node features and edges.

The dataset used in the paper is a graph dataset, where each graph is represented as a permutation group and a matrix space. The dataset is used to prove the existence of a...

D&D, PROTEINS, and COLLAB datasets for graph classification tasks

The dataset used in this paper is a collection of Barabasi-Albert (BA) graphs with different preferential attachment factors (m) ranging from m = 1 (BA-1) to m = 6 (BA-6).

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

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.

The LFR benchmark is a collection of artificial networks with a known community structure.

A dataset for learning combinatorial optimization algorithms over graphs.

The dataset used in the paper for graph generation tasks.

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 heterogeneous graphs, including ACM citation network and IMDB movie network.

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

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 used in the paper for community detection using the Bayan algorithm.

The dataset used in the paper for community detection using the Bayan algorithm.

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...