https://github.com/yzhangee/NSCaching
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Papers with Code 아카이브
Graph Embedding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 1
- 보존된 평가 기록
- 1
Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.
<span style="color:grey; opacity: 0.6">( Image credit: GAT )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zehong-wang/subgraph-pooling
struc2vec: Learning Node Representations from Structural Identity
https://github.com/zhangbo2008/GAT_network
https://github.com/zhanglab-aim/cancer-net
https://github.com/zhao-tong/GNNs-easy-to-use
https://github.com/zhenv5/atp
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
https://github.com/zjs123/streame
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition
https://github.com/zjukg/umaea
Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
https://github.com/zjunet/Time2Graph
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
https://github.com/zjunlp/MKGformer
https://github.com/zjunlp/promptkgc
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings
https://github.com/zjunlp/relphormer
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
https://github.com/zxhhh97/ABot
https://github.com/zyjcs/KGE-HAE
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
https://gitlab.com/Erik-BM/rappt
Knowledge Graph Embedding for Ecotoxicological Effect Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.