This dataset is a collection of undirected and unweighted LFR benchmark graphs as proposed by Lancichinetti et al. 1. For each configuration we provide 100 benchmark graphs. For each configuration we provide 50 benchmark graphs. For each configuration we provide 100 benchmark graphs. Benchmark graphs are given in edge list format. , Fortunato S, Radicchi F (2008) Benchmark graphs for testing community detection algorithms.
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…It includes graphs representing social networks, citation networks, web graphs, online communities, online reviews and more. representing communication Citation networks : nodes represent papers, edges represent citations Collaboration networks : nodes represent scientists, edges represent collaborations (co-authoring a paper) Web graphs co-purchased products Internet networks : nodes represent computers and edges communication Road networks : nodes represent intersections and edges roads connecting the intersections Autonomous systems : graphs Face-to-face communication networks : networks of face-to-face (non-online) interactions Graph classification datasets : disjoint graphs from different classes
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Placenta is a benchmark dataset for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images. Cell graphs are large (>1 million nodes per image), node features are varied (64-dimensions of 11 types of cells), class labels are imbalanced (9 classes ranging from 0.21% of the data to 40.0%), and cellular
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…The citation data is extracted from DBLP, ACM, MAG (Microsoft Academic Graph), and other sources. The first version contains 629,814 papers and 632,752 citations.
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