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Guille et al., 2022 - Google Patents

Document classification with hierarchical graph neural networks

Guille et al., 2022

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Document ID
9562270130898568086
Author
Guille A
Attali H
Publication year
Publication venue
18th International workshop on mining and learning with graphs

External Links

Snippet

Various neural architectures have been explored for document classification, such as convolutional and recurrent networks or as of late, Transformers. In parallel, graph neural networks have vastly improved over the recent years. In this paper, we present preliminary …
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Classifications

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    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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