https://github.com/xinyulin-fz/lenie
공식 코드Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
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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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
LKPNR: LLM and KG for Personalized News Recommendation Framework
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
SPARQLing Database Queries from Intermediate Question Decompositions
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Relation-Aware Question Answering for Heterogeneous Knowledge Graphs
Exploring Large Language Models for Knowledge Graph Completion
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs
Mutually Guided Few-shot Learning for Relational Triple Extraction
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs
Common Sense Enhanced Knowledge-based Recommendation with Large Language Model
Sequential Recommendation with Latent Relations based on Large Language Model
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.