arXiv research

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1 result for “Triple-Attention”

Attentive Graph Neural Networks for Few-Shot Learningcs.LG

Novel GNN model tackles few-shot learning with improved performance.

problem Few-shot learning with GNN suffers from over-fitting and over-smoothing.

method Proposes Attentive GNN with triple-attention mechanism.

result Improves GNN performance for few-shot learning tasks.

Graph Neural Networks Few-Shot Learning Over-fitting Over-smoothing Triple-Attention

2020-07-14abs ↗pdf ↗