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Inductive knowledge graph completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts
Relational Message Passing for Fully Inductive Knowledge Graph Completion
Inductive Entity Representations from Text via Link Prediction
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Inductive Relation Prediction by Subgraph Reasoning
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.