Towards Understanding the Geometry of Knowledge Graph Embeddings理解
Chandrahas et al. 2018 ACL. 論文背景 知識圖譜的embedding方式有多種，可按得分函數(score function)的計算表達式分爲「加法模型」和「乘法模型」兩類（見下圖1）。本文提出新的度量指標，研究各種embedding方式的幾何(geometry)性質。 圖1：知識圖譜embedding得分函數分類 度量指標 ATM(alignment to mean):
相關文章
- 1. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
- 2. KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解
- 3. Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 4. Convolutional 2D Knowledge Graph Embeddings 閱讀筆記
- 5. Towards Understanding Google Titan
- 6. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 7. EMNLP2019 | Knowledge-Aware Graph Networks
- 8. Applications of Graph Neural Networks
- 9. 論文解讀：Connecting Embeddings for Knowledge Graph Entity Typing
- 10. 閱讀分享：Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 更多相關文章...
- • XSLT
- • XSLT
- • Docker 清理命令
- • Java Agent入門實戰（三）-JVM Attach原理與使用
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. 外部其他進程嵌入到qt FindWindow獲得窗口句柄 報錯無法鏈接的外部符號 [email protected] 無法被([email protected]@[email protected]@@引用
- 2. UVa 11524 - InCircle
- 3. The Monocycle（bfs）
- 4. VEC-C滑窗
- 5. 堆排序的應用-TOPK問題
- 6. 實例演示ElasticSearch索引查詢term,match,match_phase,query_string之間的區別
- 7. 數學基礎知識 集合
- 8. amazeUI 復擇框問題解決
- 9. 揹包問題理解
- 10. 算數平均-幾何平均不等式的證明,從麥克勞林到柯西
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文理解—— DisenE: Disentangling Knowledge Graph Embeddings
- 2. KBGAN: Adversarial Learning for Knowledge Graph Embeddings理解
- 3. Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 4. Convolutional 2D Knowledge Graph Embeddings 閱讀筆記
- 5. Towards Understanding Google Titan
- 6. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 7. EMNLP2019 | Knowledge-Aware Graph Networks
- 8. Applications of Graph Neural Networks
- 9. 論文解讀：Connecting Embeddings for Knowledge Graph Entity Typing
- 10. 閱讀分享：Enriching BERT with Knowledge Graph Embeddings for Document Classification