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arXiv · 2209.10818

Memory-Augmented Graph Neural Networks: A Brain-Inspired Review

Guixiang Ma·Vy A. Vo·Theodore Willke·Nesreen K. Ahmed
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Abstract

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.

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Guixiang Ma, Vy A. Vo, Theodore Willke, Nesreen K. Ahmed. 2022-09-22. Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. https://arxiv.org/abs/2209.10818

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