Subsampling for Knowledge Graph Embedding Explained

원문 초록

In this article, we explain the recent advance of subsampling methods in knowledge graph embedding (KGE) starting from the original one used in word2vec.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2506.08158공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2025-06-09

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding

arXiv:2504.03327공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2025-04-04

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction

arXiv:2503.20400공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2025-03-26

Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs

arXiv:2501.01644공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2025-01-03

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs

arXiv:2412.04076공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2024-12-05

Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation

arXiv:2409.19977공통 태그 Graph Embedding, Knowledge Graph Embedding공식 코드 · Papers with Code 등록 2024-09-30

Knowledge Graph Embedding by Normalizing Flows

토론

이 논문과 연결된 포럼 글이 아직 없습니다.

포럼에서 토론 찾기