論文筆記：Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
前言 本文用GNN來學習適合於聚類任務的節點表示. 比較特別的是,本文同時考慮了K-Mean聚類和譜聚類來實現更好的聚類.提出了Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing(EGAE-JOCAS)以解決深度圖聚類問題 論文鏈接：https://arxiv.org/pdf/2002.08643.pdf
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相關文章
- 1. 論文筆記：Adversarially Regularized Graph Autoencoder for Graph Embedding
- 2. 論文筆記：2019[IJCAI]Attributed Graph Clustering via Adaptive Graph Convolution
- 3. [Graph Embedding] LINE 論文筆記
- 4. 論文筆記：Attributed Graph Clustering: A Deep Attentional Embedding Approach
- 5. 【論文筆記】Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks
- 6. [Graph Embedding] node2vec 論文筆記
- 7. [Graph Embedding] DeepWalk 論文筆記
- 8. 論文筆記：Unsupervised Deep Embedding for Clustering Analysis
- 9. 論文筆記：Asymmetric Transitivity Preserving Graph Embedding
- 10. 論文筆記006-《Bootstrapping Entity Alignment with Knowledge Graph Embedding》