Weisfeiler-Leman Test
In recent years, a wide variety of graph neural network (GNN) architectures have emerged, each with its own strengths, weaknesses, and …
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@inbook{liEnhancingGNNsWithArchitectureAgnostic2024,
author = {Zhifei Li and Gerrit Großmann and Verena Wolf},
booktitle = {Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol;: International Conference on Complex Networks and Their Applications},
pages = {183-194},
publisher = {Springer Nature Switzerland},
title = {Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis},
url = {https://arxiv.org/pdf/2410.08759},
year = {2024}
}