Bet-GAT: An Efficient Centrality-Based Graph Attention Model for Semi-Supervised Node Classification
Graph Neural Networks (GNNs) have witnessed great advancement in the field of neural networks for processing graph datasets. Graph Convolutional Networks (GCNs) have outperformed current models/algorithms in accomplishing tasks such as semi-supervised node classification, link prediction, and graph...
Main Authors: | Atul Kumar Verma, Rahul Saxena, Mahipal Jadeja, Vikrant Bhateja, Jerry Chun-Wei Lin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/2/847 |
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