論文淺嘗 | Open world Knowledge Graph Completion
來源：AAAI2018 論文鏈接：https://arxiv.org/pdf/1711.03438.pdf 代碼鏈接：https://github.com/bxshi/ConMask 本文解決知識庫補全的問題，但和傳統的 KGC 任務的場景有所不同。以往知識庫補全的前提是實體和關係都已經在 KG 中存在，文中把那類情況定義爲 Closed-World KGC。從其定義可以發現它是嚴重依賴已有KG連
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- 1. An Open-World Extension to Knowledge Graph Completion Models 論文筆記
- 2. 論文淺嘗 | K-BERT: Enabling Language Representation with Knowledge Graph
- 3. 論文淺嘗 | Leveraging Knowledge Bases in LSTMs
- 4. 「論文翻譯」Poster: Knowledge Graph Completion to Predict Polypharmacy Side Effects
- 5. 論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
- 6. 論文淺嘗 | GEOM-GCN: Geometric Graph Convolutional Networks
- 7. 論文淺嘗 | GMNN: Graph Markov Neural Networks
- 8. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 9. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
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相關文章
- 1. An Open-World Extension to Knowledge Graph Completion Models 論文筆記
- 2. 論文淺嘗 | K-BERT: Enabling Language Representation with Knowledge Graph
- 3. 論文淺嘗 | Leveraging Knowledge Bases in LSTMs
- 4. 「論文翻譯」Poster: Knowledge Graph Completion to Predict Polypharmacy Side Effects
- 5. 論文解讀：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
- 6. 論文淺嘗 | GEOM-GCN: Geometric Graph Convolutional Networks
- 7. 論文淺嘗 | GMNN: Graph Markov Neural Networks
- 8. Transfer Learning for Item Recommendations and Knowledge Graph Completion
- 9. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
- 10. 論文淺嘗|GRAPH-BERT: Only Attentionis Needed for Learning Graph Representations