Progressive Graph Convolutional Networks for Semi-Supervised Node Classification

Progressive Graph Convolutional Networks for Semi-Supervised Node Classification

Graph convolutional networks have been successful in addressing graph-based tasks such as semi-supervised node classification. Existing methods use a network structure defined by the user based on experimentation with fixed number of layers and neurons per layer and employ a layer-wise propagation r...

Full description

Bibliographic Details
Main Authors: Negar Heidari, Alexandros Iosifidis
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Graph-based learning
graph convolutional networks
progressive learning
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/9446103/

Internet

https://ieeexplore.ieee.org/document/9446103/

Similar Items