阅读笔记--CAN GRAPH NEURAL NETWORKS GO “ONLINE”? AN ANALYSIS OF PRETRAINING AND INFERENCE
文章目录 一、介绍 概览 Inductive learning 与 Transductive learning 二、实验设置 总结 一、介绍 概览 研究动机：现实应用中，大规模的图数据往往是动态的而不是静态的。新的节点和边会随时出现。而当这种情况发生后，并不容易决定是重新训练模型还是在原有模型的基础上进行训练。作者将经过预训练的GNN和从头再训练的GNN进行了对比，对于新插入的节点和边，经过预训练
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相关文章
- 1. 论文阅读笔记（三十四）：An Analysis of Scale Invariance in Object Detection－SNIP
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