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Inductive Representation Learning on Large Graphs 論文閱讀
時間 2020-07-25
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inductive
representation
learning
large
graphs
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最近作graph CNN方向,前先後後也看了一些論文,以爲時間長了就忘了,因此,準備把看的論文總結下寫到博客。node 論文的動機和目標: 作evolving graph的node embedding. 當前的相關算法存在的問題是:只能對給定的固定大小的graph作 node embedding.可是現實中的不少應用中graph是不斷變化的,因此須要對還沒出現,將要出現的 unseen nodes
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1.
Inductive Representation Learning on Large Graphs 論文閱讀
2.
Inductive Representation Learning on Large Graphs閱讀筆記
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Inductive Representation Learning On Large Graphs【閱讀筆記】
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