Graph datasets for clustering

Each paper is represented by a 3703-dimensional word vector, indicating the absence or presence of specific words from a predefined dictionary. Additionally, the dataset includes 4732 citation links between papers, reflecting the citation relationships among papers. The DBLP dataset is derived from the DBLP computer science bibliography and represents a co-authorship network.

Each node corresponds to an author, and an edge between two nodes indicates that the corresponding authors have co-authored at least one paper together. It contains 4058 nodes and 3528 edges, with each author represented by an 334-dimensional feature vector that describes their research areas. The ACM dataset is a paper network, derived from the ACM database.

It contains a total of 3025 papers categorized into three categories: database, wireless communication, and data mining. Each paper is represented by a 1870-dimensional vector based on the research area of the article. There is an edge between two papers if they are written by the same author.