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News/Model Agnostic Graph Prompt Learning for Crystal Property Prediction
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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Model Agnostic Graph Prompt Learning for Crystal Property Prediction

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Publisher summary· verbatim

arXiv:2607.08996v1 Announce Type: cross Abstract: Graph Neural Networks have emerged as a powerful tool for the fast and accurate prediction of various crystal properties. These models often encode domain-specific knowledge into their graph encoding modules, which increases their parameter size and

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    Graph Neural Networks
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#graph-neural-networks#crystal-properties#prompt-learning#cross-property-knowledge-transfer

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Mentioned models
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  • 01
    Graph Neural Networks
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arxiv
Read original ↗All from arxiv →
Tags
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#graph-neural-networks#crystal-properties#prompt-learning#cross-property-knowledge-transfer

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