論文筆記：AAAI 2018 Convolutional 2D Knowledge Graph Embeddings
1. 前言 論文鏈接：https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewPDFInterstitial/17366/15884 github：https://github.com/TimDettmers/ConvE 知識圖的鏈接預測是預測實體之間缺失關係的任務。先前有關鏈接預測的工作集中在淺，快速的模型上，這些模型可以縮放到大型知識圖例如基於
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相關文章
- 1. Convolutional 2D Knowledge Graph Embeddings 閱讀筆記
- 2. 論文筆記：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 3. convolutional 2D knowledge graph embedding 解讀
- 4. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
- 5. 論文筆記：AAAI 2020 Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional
- 6. 論文筆記：AAAI 2019 Graph Convolutional Networks for Text Classification
- 7. Learning over Knowledge-Base Embeddings for Recommendation 論文
- 8. 論文筆記：Graph Convolutional Matrix Completion
- 9. 論文筆記：LCML 2019 Simplifying Graph Convolutional Networks
- 10. 論文筆記：ESWC 2018 Modeling Relational Data with Graph Convolutional Networks