Towards Deeper Graph Neural Networks
問題： 一層的GCN layer只考慮直接鄰域，加深模型層數可獲得更大的感受野receptive fields，但性能卻會變壞。 以前認爲是over-smoothing問題導致的。 本文 增加層性能變壞是因爲GCN模型裏兩個關鍵部分——representation transformation和propagation——的糾纏導致的。 分離這兩個部分可以解決該問題。 模型： 進行特徵變換， 堆疊層
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相關文章
- 1. 圖神經網絡論文閱讀(二十) Towards Deeper Graph Neural Networks
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