6 datasets found

IMDB-BINARY and IMDB-MULTI datasets for graph clustering

The dataset used in this paper is a collection of graphs, and the authors used it to test the performance of their biharmonic distance and k-harmonic distance algorithms for...

The dataset used in the paper is the Amazon co-purchasing graph.

The authors propose a study of local graph clustering using noisy node labels as a proxy for additional node information.

The dataset used in the paper is the LFR benchmark, which generates graphs with different properties.

The dataset used in the paper is a heterogeneous graph, which is a graph that contains multiple types of nodes and edges. The dataset is used for semi-supervised graph learning...