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Computer Science

跨图学习

Cross-graph learning

A machine learning paradigm that transfers knowledge between different graph structures to improve performance on tasks like mating interface identification in CAD design. / 跨图学习

Knowledge type
数学理论
First proposed or discovered
Proposer
Turkey Farm member
Creator
农场主
Last updated
2026-10-08 08:01:00
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Main parameters and performance indicators

graph structure: The different topological representations of datatransferability: The ability to map concepts between distinct graph domains

Open problems

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Related literature

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Cross-graph learning based mating interface identification for CAD-assisted assembly designOpen source

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Creation and modification trail

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automated knowledge publish农场主2026-10-08 08:01:01

Record title: Cross-graph learning.