Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism

Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism

The main steps in a graph neural network are message propagation and aggregation between nodes. Message propagation allows messages from distant nodes in the graph to be transmitted to the central node, while feature aggregation allows the central node to obtain messages regarding its neighbors and...

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Bibliographic Details
Main Authors: Chenfang Zhang, Yong Gan, Ruisen Yang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Information
Subjects:
graph neural networks
convolutional network
attention mechanism
adaptive propagation
Online Access:https://www.mdpi.com/2078-2489/13/10/471

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https://www.mdpi.com/2078-2489/13/10/471

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