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 451475 of 2974 papers

TitleStatusHype
TIGER: Temporally Improved Graph Entity LinkerCode0
ReasonPlanner: Enhancing Autonomous Planning in Dynamic Environments with Temporal Knowledge Graphs and LLMs0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective0
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for RecommendationCode0
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering0
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextCode0
MKGL: Mastery of a Three-Word Language0
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions0
Diversified and Adaptive Negative Sampling on Knowledge Graphs0
Context-Augmented Code Generation Using Programming Knowledge Graphs0
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs0
A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applicationsCode0
LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge GraphsCode2
Bottom-up Anytime Discovery of Generalised Multimodal Graph Patterns for Knowledge Graphs0
Posets and Bounded Probabilities for Discovering Order-inducing Features in Event Knowledge Graphs0
Information Discovery in e-Commerce0
Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQACode1
Representing Web Applications As Knowledge Graphs0
Neuro-Symbolic Entity Alignment via Variational Inference0
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge GraphsCode0
Enriching Ontologies with Disjointness Axioms using Large Language ModelsCode0
Semantic-Guided RL for Interpretable Feature Engineering0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization0
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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