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GNN新作《Relational inductive biases,deep learning,and graph networks》读书笔记
时间 2020-12-30
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GNN
DeepMind
Combinatorial Generialization
Graph Network
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当下AI的瓶颈: 静观现有AI,尤其是Deep Learning的发展如火如荼,几大热炒的明星模型无非MLP,CNN,和RNN。这些模型更倾向于是对现实世界的representation learning,其最大的问题有二: Combinatorial Generalization (CG):即泛化能力,如何解决利用有限样本学习无限可能的这个本质难点,即如何实现‘infinite use of f
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相关文章
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2.
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《Relational inductive biases, deep learning, and graph networks》图网络 论文解读
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