Artificial Intelligence
图卷积网络
Graph Convolutional NetworkA deep learning algorithm designed to operate on graph-structured data, aggregating information from neighboring nodes to learn node representations. / 一种用于处理图结构数据的深度学习算法，通过聚合邻居节点的信息来学习节点表示。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-03 22:05:27
Sub-knowledge points
Spatial aggregationSpectral convolutionMessage passing
Higher-order knowledge points
Deep Learning / 工艺技术Representation Learning
Main parameters and performance indicators
input graph: data structure representing nodes and edgesfilter: learnable weights for convolution operationactivation function: non-linear transformation (e.g., ReLU)
Open problems
Scalability to very large graphsHandling dynamic graphsInterpretability of learned features
Related literature
ranked by community starsASD-FCGCN: A biologically interpretable graph convolutional network for ASD diagnosis from rs-fMRIOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Graph Convolutional Network.
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