Holme-Kim

Emerging

1papers using it

2025first seen

The Holme-Kim dataset is a collection of synthetic graphs generated from the Holme-Kim model, used to evaluate the performance of Graph Neural Networks (GNNs) in classifying different generative graph families.

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Papers using Holme-Kim (1)

Feature-Enhanced Graph Neural Networks for Classification of Synthetic Graph Generative Models: A Benchmarking Study2025