Examining the Effects of Degree Distribution and Homophily in Graph Learning Models

1 code implementation • 17 Jul 2023 • Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi

In this work we examine how two additional synthetic graph generators can improve GraphWorld's evaluation; LFR, a well-established model in the graph clustering literature and CABAM, a recent adaptation of the Barabasi-Albert model tailored for GNN benchmarking.

Benchmarking Graph Clustering +3