论文标题
记忆启动的图形神经网络：受脑启发的评论
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review
论文作者
论文摘要
我们对现有文献进行了有关存储器的GNN的全面审查。我们通过心理学和神经科学的角度回顾了这些作品，该镜头具有几种既定理论，涉及多种记忆系统和机制如何在生物学大脑中运作。我们提出了一种记忆启动的GNN的分类法以及一组比较其记忆机制的标准。我们还提供有关这些作品局限性的重要讨论。最后，我们讨论了该领域的挑战和未来方向。
We provide a comprehensive review of the existing literature on memory-augmented GNNs. We review these works through the lens of psychology and neuroscience, which has several established theories on how multiple memory systems and mechanisms operate in biological brains. We propose a taxonomy of memory-augmented GNNs and a set of criteria for comparing their memory mechanisms. We also provide critical discussions on the limitations of these works. Finally, we discuss the challenges and future directions for this area.
