-
Synthetic Barabasi network
A synthetic Barabasi network comprising 30 nodes with a power of the preferential attachment of 1.2 -
D&D, PROTEINS, and COLLAB datasets
D&D, PROTEINS, and COLLAB datasets for graph classification tasks -
Barabasi-Albert Graphs
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). -
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Malware open-set recognition: the samples of only known families are presented during training, while the recognition system is expected to recognize samples from both known and... -
Vehicular Networks dataset
A dataset for vehicular networks -
Scientific Collaboration Networks
The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation. -
Community Detection Evaluation
The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation. -
Graph Datasets
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. -
Generated dataset for distributed optimization
The dataset used in the paper is a generated dataset consisting of 10,000 samples randomly distributed to the nodes of a network of size 100. -
Computer and Photo
Product Graphs -
Cora, CiteSeer, Pubmed, and ogbn-arxiv
Citation Graphs -
ACM citation network and IMDB movie network
The dataset used in the paper is heterogeneous graphs, including ACM citation network and IMDB movie network. -
Cora, Citeseer, and Pubmed citation networks
The dataset used in the paper is citation networks, including Cora, Citeseer, and Pubmed. -
Lancichinetti-Fortunato-Radicchi (LFR) Benchmark Graphs
The dataset used in the paper for community detection using the Bayan algorithm. -
Artificial Benchmarks for Community Detection (ABCD)
The dataset used in the paper for community detection using the Bayan algorithm. -
Network Informational Complexity Near Criticality
The dataset used in this paper is a collection of stochastic Gaussian dynamics for complex networks with linear multivariate dynamics. -
Network Repository
A large dataset containing thousands of real-world networks ranging from genetic, protein interaction, and metabolic networks to brain, language, ecology, and social networks -
BioGRID networks
The dataset used in this paper is the BioGRID networks, which contain protein-protein interaction (PPI) networks for various species. -
Integrated Interaction Database (IID) networks
The dataset used in this paper is the Integrated Interaction Database (IID) networks, which contain protein-protein interaction (PPI) networks for various species.