On the expressivity and sample complexity of node-individualized graph neural 
networks

Pellizzoni, Paolo; Schulz, Till; Chen, Dexiong; Borgwardt, Karsten M

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On the expressivity and sample complexity of node-individualized graph neural networks

Pellizzoni, P., Schulz, T., Chen, D., & Borgwardt, K. M. (2024). On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024).

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-EF28-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0010-022D-A

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https://neurips.cc/virtual/2024/poster/96388 (Any fulltext) Open Access status unknown

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Creators:
Pellizzoni, Paolo¹, Author
Schulz, Till¹, Author
Chen, Dexiong¹, Author
Borgwardt, Karsten M¹, Author

Affiliations:
1Borgwardt, Karsten / Machine Learning and Systems Biology, Max Planck Institute of Biochemistry, Max Planck Society, ou_3502542

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Dates: Date issued: 2024

Publication Status: Issued

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Title: Conference on Neural Information Processing Systems (NeurIPS 2024)

Source Genre: Journal

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