Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets

Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets

Deep learning methods predicated on convolutional neural networks and graph neural networks have enabled significant improvement in node classification and prediction when applied to graph representation with learning node embedding to effectively represent the hierarchical properties of graphs. An...

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Bibliographic Details
Main Authors: Hai Van Pham, Dat Hoang Thanh, Philip Moore
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
knowledge graphs
graph classification
graph neural networks
graph convolutional network
hierarchical graph pooling
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Online Access:https://www.mdpi.com/1424-8220/21/18/6070

Internet

https://www.mdpi.com/1424-8220/21/18/6070

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