Datasets
Standard Dataset
stableGCN_datasets
- Citation Author(s):
- Submitted by:
- Shiping Wang
- Last updated:
- Thu, 09/05/2024 - 04:07
- DOI:
- 10.21227/5axx-9t45
- License:
23 Views- Categories:
- Keywords:
Abstract
Cora, Citeseer, and Pubmed are commonly used citation network datasets. Among these, Citeseer has the most dense features, while Pubmed has more nodes and edges.
ACM is a network of papers where each node represents a paper. In contrast to citation networks, edges connect papers that share the same authors.
Flickr serves as a social network that captures the connections between users originating from image and video hosting websites. These users are categorized into nine groups according to their personal interests.
UAI is a popular dataset used to evaluate GCNs performance on community detection tasks. It comprises a webpage citation network where nodes represent webpages gathered from various universities, with each edge indicating a citation.
Amazon-P and Amazon-C are segments of the Amazon co-purchase graph. In this graph, nodes represent products, edges denote frequent co-purchases between two products, node features are encoded product reviews using bag-of-words, and class labels correspond to product categories.
Cora, Citeseer, and Pubmed are commonly used citation network datasets. Among these, Citeseer has the most dense features, while Pubmed has more nodes and edges.
ACM is a network of papers where each node represents a paper. In contrast to citation networks, edges connect papers that share the same authors.
Flickr serves as a social network that captures the connections between users originating from image and video hosting websites. These users are categorized into nine groups according to their personal interests.
UAI is a popular dataset used to evaluate GCNs performance on community detection tasks. It comprises a webpage citation network where nodes represent webpages gathered from various universities, with each edge indicating a citation.
Amazon-P and Amazon-C are segments of the Amazon co-purchase graph. In this graph, nodes represent products, edges denote frequent co-purchases between two products, node features are encoded product reviews using bag-of-words, and class labels correspond to product categories.
