論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
COLING 2020 DisenE: Disentangling Knowledge Graph Embeddings 鏈接： https://arxiv.org/abs/2010.14730 Github: https://github.com/KXY-PUBLIC/DisenE 研究背景： 近年來，學術界和工業界已經提出了大量的知識圖譜表示學習的模型用於鏈接預測等下游任務，主要是將KG中的實
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相關文章
- 1. KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解
- 2. Towards Understanding the Geometry of Knowledge Graph Embeddings理解
- 3. 論文解讀：Connecting Embeddings for Knowledge Graph Entity Typing
- 4. Learning over Knowledge-Base Embeddings for Recommendation 論文
- 5. 論文筆記：AAAI 2018 Convolutional 2D Knowledge Graph Embeddings
- 6. 論文筆記：AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
- 7. Convolutional 2D Knowledge Graph Embeddings 閱讀筆記
- 8. Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 9. 論文解讀：Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
- 10. 論文理解—— Disentangle-based Continual Graph Representation Learning