Bag of words

4 datasets tagged as the tag “Bag of words”.

4 datasets.

CiteSeer Network (GCN Benchmark) Analyzed

A CiteSeer dataset of 3,327 nodes, 4,676 edges, 6 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. CiteSeer network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

3.3K records3.3K nodes4.7K edges2016

Cora Network (GCN Benchmark) Analyzed

A Cora dataset of 2,708 nodes, 5,278 edges, 7 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Cora network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

2.7K records2.7K nodes5.3K edges2016

Terrorist Relations Network (GCN Benchmark) Analyzed

A Terrorist Relations dataset of 881 nodes, 8,592 edges, 4 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Terrorist Relations network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

881 records881 nodes8.6K edges2006

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