Artificial Intelligence
自监督图神经网络
Self-supervised graph neural networksA machine learning approach that utilizes graph neural networks (GNNs) trained on unlabeled data by generating its own supervisory signals from the graph structure itself. / 一种机器学习方法，利用图神经网络（GNN）在无标签数据上训练，通过从图结构本身生成监督信号。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-06 19:06:03
Sub-knowledge points
Graph Neural NetworksSelf-supervised LearningVoltage Control
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Main parameters and performance indicators
graph structure: The topology of the network nodes and edgesunlabeled data: The input dataset without explicit labelsself-supervision: The mechanism of generating labels from the data
Open problems
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Related literature
ranked by community starsSelf-supervised graph neural networks for full-scale tertiary voltage controlOpen source
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1 recordsRecord title: Self-supervised graph neural networks.
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