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 826850 of 2974 papers

TitleStatusHype
Embedding Uncertain Knowledge GraphsCode0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistanceCode0
Employing Argumentation Knowledge Graphs for Neural Argument GenerationCode0
Leveraging Wikidata's edit history in knowledge graph refinement tasksCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Jointly Learning Explainable Rules for Recommendation with Knowledge GraphCode0
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons LearnedCode0
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge GraphsCode0
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic SpacesCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
Enabling knowledge discovery in natural hazard engineering datasets on DesignSafeCode0
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge GraphsCode0
Iterative Entity Alignment via Joint Knowledge EmbeddingsCode0
AutoLLM-CARD: Towards a Description and Landscape of Large Language ModelsCode0
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction MethodsCode0
Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge GraphsCode0
Intermediate triple table: A general architecture for virtual knowledge graphsCode0
End-to-End Learning on Multimodal Knowledge GraphsCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural NetworksCode0
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changesCode0
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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