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《Inductive representation learning on large graphs》筆記
時間 2020-12-30
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Introduction 這篇論文介紹了一種圖卷積網絡(Graph convolution network),該論文的圖卷積方法很容易理解,沒有涉及傅里葉變換。論文的出發點是爲圖中每個結點計算得到一個低維嵌入向量。已有的基於因式分解的嵌入方法直接爲每個單獨的結點訓練結點的嵌入向量,是transductive。論文提出來的GraphSAGE是一個泛化的歸納(inductive)框架。Transduc
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相關文章
1.
Inductive Representation Learning on Large Graphs閱讀筆記
2.
論文筆記: Inductive Representation Learning on Large Graphs
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《Inductive representation learning on large graphs》筆記
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