Papers with Code 아카이브

Inductive Relation Prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

Inductive setting of the knowledge graph completion task. This requires a model to perform link prediction on an entirely new test graph with new set of entities.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/DeepGraphLearning/NBFNet

공식 코드

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

https://github.com/TmacMai/CoMPILE_Inductive_Knowledge_Graph

공식 코드

Communicative Message Passing for Inductive Relation Reasoning

https://github.com/jiaangl/report

공식 코드

Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers

https://github.com/kkteru/grail

공식 코드

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/pkuyzy/cbgnn

공식 코드

Cycle Representation Learning for Inductive Relation Prediction

https://github.com/smart-lty/rest

공식 코드

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

https://github.com/tgebhart/sheaf_kg_transind

공식 코드

Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational Inference

https://github.com/zhixiangsu/apst

공식 코드

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

https://github.com/zhixiangsu/krst

공식 코드

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

https://github.com/zhw12/BERTRL

공식 코드

Inductive Relation Prediction by BERT

https://github.com/zjukg/morse

공식 코드

Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.