Construct · 1 fields · 1 citations

graph attention network: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed

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Machine learning

a graph neural network in which each node weights its neighbors through learned self-attention coefficients rather than fixed, structure-based weights.

In machine learning, graph attention network refers to a graph neural network in which each node weights its neighbors through learned self-attention coefficients rather than fixed, structure-based weights. This meaning comes from Veličković (2017) in arXiv.[1]

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Nearby constructs

attention5 fields · 10 citationsjingle · one name, five constructs graph neural network1 fields · 1 citationsanchor · a standalone construct learning6 fields · 14 citationsjingle · one name, six constructs

References

Veličković, P., Cucurull, G., Casanova, A., Romero, A., Liò, P., & Bengio, Y. (2017). Graph Attention Networks. arXiv. https://doi.org/10.48550/arxiv.1710.10903

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