Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 4
- 보존된 평가 기록
- 19
A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/University/tree/main/model-1/rag
RAGA: Relation-aware Graph Attention Networks for Global Entity Alignment
https://github.com/yangyucheng000/VOGUE
https://github.com/yangyucheng000/multi-basis-encoding
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
https://github.com/ytbai/ogbn_arxiv_dgl
Open Graph Benchmark: Datasets for Machine Learning on Graphs
https://github.com/yuyuz/Variational-Reasoning-Networks
Variational Reasoning for Question Answering with Knowledge Graph
https://github.com/z-qiyu/KGNN-LS
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
https://github.com/zehong-wang/gft
https://github.com/zhongpeixiang/ckc
https://github.com/zhuang-li/factual
https://github.com/zjs123/streame
Diachronic Embedding for Temporal Knowledge Graph Completion
https://github.com/zju-dbl/metakg
https://github.com/zjukg/umaea
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
https://github.com/zjunlp/promptkgc
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
https://github.com/zyjcs/KGE-HAE
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.