「论文翻译」Poster: Knowledge Graph Completion to Predict Polypharmacy Side Effects

时间 2021-01-13

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@@ 文章目录 Abstract 1 Introduction 2 Datasets 3 Methods 4 Experimental results 5 Discussion Abstract 多药副作用预测问题考虑了单独服用两种药物不会导致特定副作用的情况；但是，当两种药物联合使用时，会出现副作用。在这项工作中，我们证明了多关系知识图谱完成在多药副作用预测问题上达到了最新的结果。实验结果表明

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1. 「论文翻译」Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
2. 论文浅尝 | Open world Knowledge Graph Completion
3. An Open-World Extension to Knowledge Graph Completion Models 论文笔记
4. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation
5. 【ICLR2019】Poster 论文汇总
6. 论文翻译：GRAPH ATTENTION NETWORKS
7. 论文笔记：Graph Convolutional Matrix Completion
8. 论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
9. Transfer Learning for Item Recommendations and Knowledge Graph Completion
10. 论文理解—— DisenE: Disentangling Knowledge Graph Embeddings
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1. 「论文翻译」Tri-graph Information Propagation for Polypharmacy Side Effect Prediction
2. 论文浅尝 | Open world Knowledge Graph Completion
3. An Open-World Extension to Knowledge Graph Completion Models 论文笔记
4. 【论文翻译】KGAT: Knowledge Graph Attention Network for Recommendation
5. 【ICLR2019】Poster 论文汇总
6. 论文翻译：GRAPH ATTENTION NETWORKS
7. 论文笔记：Graph Convolutional Matrix Completion
8. 论文解读：（TranSparse）Knowledge Graph Completion with Adaptive Sparse Transfer Matrix
9. Transfer Learning for Item Recommendations and Knowledge Graph Completion
10. 论文理解—— DisenE: Disentangling Knowledge Graph Embeddings

>>更多相关文章<<