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May, 2023
图形神经网络的图形重写
Graph Rewriting for Graph Neural Networks
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Adam Machowczyk, Reiko Heckel
TL;DR
本文提出将图重写作为研究和比较图神经网络的形式模型,并将GNN表示为图重写系统,探讨其架构和算法。作者开发了一个基于Groove图重写模型的案例研究,用于模拟消息传递神经网络,并探讨其对动态更新的增量操作。
Abstract
Given graphs as input,
graph neural networks
(GNNs) support the inference of nodes, edges, attributes, or graph properties.
graph rewriting
investigates the rule-based manipulation of graphs to model complex grap
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