读书笔记7：Relational inductive biases, deep learning, and graph networks
在摘要中，作者就阐明了写作本文的动机，人工智能在近几年由于廉价的数据和计算资源而得到复兴，但是人类智能的很多关键特征，AI还无法实现。具体来讲，作者指的是人类将已有的经验推广的能力还没能在AI中实现，这个能力在后文也被称作combinatorial generalization，也即通过组合已有的东西来获得新的东西。 本文的很大一部分是对之前工作的回顾和整合，还有一部分是提出了新的模型。作者在本文
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相关文章
- 1. GNN新作《Relational inductive biases，deep learning，and graph networks》读书笔记
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