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Zhu et al., 2022 - Google Patents

Structural landmarking and interaction modelling: a “slim” network for graph classification

Zhu et al., 2022

View PDF
Document ID
16046442331020333502
Author
Zhu Y
Zhang K
Wang J
Ling H
Zhang J
Zha H
Publication year
Publication venue
Proceedings of the AAAI Conference on Artificial Intelligence

External Links

Snippet

Graph neural networks are a promising architecture for learning and inference with graph- structured data. Yet, how to generate informative, fixed dimensional features for graphs with varying size and topology can still be challenging. Typically, this is achieved through graph …
Continue reading at ojs.aaai.org (PDF) (other versions)

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