Eatsa-Gnn: Edge-Aware and Two-Stage Attention for Enhancing Graph Neural Networks Based on Teacher-Student Mechanisms for Graph Node Classification

Author:

Fofanah Abdul J.,Leigh Alpha Omar

Publisher

Elsevier BV

Reference46 articles.

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4. Dual-channel edge-featured graph attention networks for aspect-based sentiment analysis;J Lu;Electronics,2023

5. Edge-enhanced graph attention network for driving decision-making of autonomous vehicles via deep reinforcement learning;Y Qiang;Proceedings of the Institution of Mechanical Engineers,2024

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