【IJCAI 2016】Modularity Based Community Detection with Deep Learning 閱讀小記
一、動機 從低秩嵌入的角度來看，現有的多種社團檢測算法中有兩類代表：隨機模型（Stochastic Model）和模塊度最大化模型（Modularity Optimization Model）。在這兩種算法的設計中用到了非負矩陣分解和奇異值分解，這兩種方法爲線性映射。但是，真實的網絡存在不同的非線性特徵，使得這些方法不能很好地運用。目前，神經網絡是一個非常好的非線性映射的方法，所以作者將深度學
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相關文章
- 1. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》
- 2. Machine Learning & Deep Learning 論文閱讀筆記
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