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 26262650 of 2974 papers

TitleStatusHype
Guiding Neural Entity Alignment with CompatibilityCode0
GraphWOZ: Dialogue Management with Conversational Knowledge GraphsCode0
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense ReasoningCode0
Using a KG-Copy Network for Non-Goal Oriented DialoguesCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic SimplificationCode0
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph DatabasesCode0
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge GraphsCode0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Traceable LLM-based validation of statements in knowledge graphsCode0
Graph Collaborative Attention Network for Link Prediction in Knowledge GraphsCode0
Link Prediction on N-ary Relational Facts: A Graph-based ApproachCode0
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic SpacesCode0
Recommender systems based on graph embedding techniques: A comprehensive reviewCode0
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric LiteralsCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
GraphAgent: Agentic Graph Language AssistantCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge GraphsCode0
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge GraphsCode0
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence MaximizationCode0
Adaptive Stochastic Weight AveragingCode0
Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment DecodingCode0
AutoLLM-CARD: Towards a Description and Landscape of Large Language ModelsCode0
Discovering alignment relations with Graph Convolutional Networks: a biomedical case studyCode0
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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