SOTAVerified

Knowledge Graphs

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.

Papers

Showing 15011525 of 2974 papers

TitleStatusHype
LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments0
LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain0
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation0
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs0
LLM+KG@VLDB'24 Workshop Summary0
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning0
General LLMs as Instructors for Domain-Specific LLMs: A Sequential Fusion Method to Integrate Extraction and Editing0
Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning0
Locally Adaptive Translation for Knowledge Graph Embedding0
Location Sensitive Embedding for Knowledge Graph Reasoning0
Logical Consistency of Large Language Models in Fact-checking0
Logical Separability of Labeled Data Examples under Ontologies0
Logic Augmented Generation0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules0
LogKG: Log Failure Diagnosis Through Knowledge Graph0
LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction0
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs0
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation0
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey0
Low Resource Quadratic Forms for Knowledge Graph Embeddings0
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension0
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34Unverified
2MKGformerMRR0.32Unverified
3MarT_FLAVAMRR0.29Unverified
4ViLBERTMRR0.29Unverified
5IKRL (ANALOGY)MRR0.28Unverified
6IKRLMRR0.27Unverified
7ViLTMRR0.26Unverified
8TransAEMRR0.22Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15Unverified
2Q*BERTSet accuracy32.78Unverified
3GATA-WSet accuracy24.06Unverified
4WorldformerSet accuracy23.22Unverified
5Seq2SeqSet accuracy14.29Unverified
6RulesSet accuracy4.7Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48Unverified
2ComplEx-ConcatTest MRR0.86Unverified
3ComplEx-RoBERTaTest MRR0.72Unverified
4TransE-RoBERTaTest MRR0.63Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59Unverified