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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.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
Topic Modeling and Link-Prediction for Material Property Discovery
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing
Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph
Active Inference AI Systems for Scientific Discovery
Generating Reliable Adverse event Profiles for Health through Automated Integrated Data (GRAPH-AID): A Semi-Automated Ontology Building Approach
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
Beyond Prediction -- Structuring Epistemic Integrity in Artificial Reasoning Systems
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs
On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction
Understanding the Effect of Knowledge Graph Extraction Error on Downstream Graph Analyses: A Case Study on Affiliation Graphs
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
A Survey of Link Prediction in N-ary Knowledge Graphs
A Temporal FRBR/FRBRoo-Based Model for Component-Level Versioning of Legal Norms
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
OpenAg: Democratizing Agricultural Intelligence
Schema Generation for Large Knowledge Graphs Using Large Language Models
Retrieval-Augmented Generation of Ontologies from Relational Databases
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing
LLM Inference Enhanced by External Knowledge: A Survey
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
Leveraging Knowledge Graphs and LLMs for Structured Generation of Misinformation
Guiding Generative Storytelling with Knowledge Graphs
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
Rethinking Regularization Methods for Knowledge Graph Completion
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