GNN初学笔记（一）—— Relational inductive biases, deep learning, and graph networks简要解析
GNN初学笔记（一）—— Relational inductive biases, deep learning, and graph networks文献学习 （我会在每个术语解释后面加入自己的理解，若有错误恳请指正） 这篇文献首先阐释AI如何模拟人类的学习能力，即组合泛化能力（combinatorial generalization），总结了目前深度学习“端到端”（end to end）的模型，
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