The method proposed by Finzel et al. (2022) uses GNNs to extract features from graph-structured data, such as the Kandinsky pattern data set, which contains geometric objects (circles, triangles) with attributes like shape, color, size, and location.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (1)

• graph neural networks concept