A dual graph convolutional neural network jointly considers the two essential assumptions of semi-supervised learning: (1) local consistency and (2) global consistency. Accordingly, two convolutional neural networks are devised to embed the local-consistency-based and global-consistency-based knowledge, respectively.
Description and image from: Dual Graph Convolutional Networks for Graph-Based Semi-Supervised Classification
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Task | Papers | Share |
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Aspect-Based Sentiment Analysis (ABSA) | 1 | 33.33% |
Dependency Parsing | 1 | 33.33% |
Sentiment Analysis | 1 | 33.33% |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |