Benchmark

3 datasets tagged as the tag “Benchmark”.

3 datasets.

Cora Citation Network Analyzed

A Cora machine learning paper database dataset of 23,166 nodes and 91,500 edges, collected by McCallum et al.. Each record contains directed: True, weighted: False. Classic citation network of machine learning papers — one of the most used benchmarks for graph neural network node classification.. Suitable for graph neural networks, node classification, citation network analysis.

23.2K records23.2K nodes91.5K edges2013

Terrorist Attacks Network (GCN Benchmark) Analyzed

A Terrorist Attacks dataset of 645 nodes, 3,172 edges, 6 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Terrorist Attacks network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

645 records645 nodes3.2K edges2006

WebKB Washington WebKB (GCN Benchmark) Analyzed

A WebKB washington dataset of 230 web pages, 417 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB washington university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.

230 records230 nodes417 edges2000