metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Time: Author: Yuxiao Dong, Nitesh V. Chawla, Anathram Swami homogeneous networks: representation of singular type of nodes and relationships, such as DeepWalk, LINE, and node2vec heterogeneous net
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相關文章
- 1. node2vec: Scalable Feature Learning for Networks論文解讀
- 2. 【論文解讀 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
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- 4. network representation learning（NRL）
- 5. 《HARP-Hierarchical Representation Learning for Networks》論文解讀
- 6. V4d:4d Convolutional Neural Networks For Video-level Representation Learning
- 7. NRL: network representation learning & NE: network embedding. 相關論文總結
- 8. IntentGC:a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
- 9. Representation Learning for Attributed Multiplex Heterogeneous Network 論文閱讀筆記
- 10. 論文閱讀：Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection