Graphs, Entities, and Step Mixture for Enriching Graph Representation

Graphs, Entities, and Step Mixture for Enriching Graph Representation

Graph neural networks have shown promising results on representing and analyzing diverse graph-structured data, such as social networks, traffic flow, drug discovery, and recommendation systems. Existing approaches for graph neural networks typically suffer from the oversmoothing issue that results...

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Bibliographic Details
Main Authors: Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Graph neural network
random walk
oversmoothing
aggregation
mixture
attention
Online Access:https://ieeexplore.ieee.org/document/9583282/

Internet

https://ieeexplore.ieee.org/document/9583282/

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