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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1875 of 2974 papers

TitleStatusHype
Safety Control of Service Robots with LLMs and Embodied Knowledge Graphs—0
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs—0
Sanskrit Knowledge-based Systems: Annotation and Computational Tools—0
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning—0
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language—0
Scalable Knowledge Graph Construction and Inference on Human Genome Variants—0
Scaling R-GCN Training with Graph Summarization—0
Schema Generation for Large Knowledge Graphs Using Large Language Models—0
SciCom Wiki: Fact-Checking and FAIR Knowledge Distribution for Scientific Videos and Podcasts—0
SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models—0
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs—0
SE-GNN: Seed Expanded-Aware Graph Neural Network with Iterative Optimization for Semi-supervised Entity Alignment—0
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment—0
Self-Improvement Programming for Temporal Knowledge Graph Question Answering—0
SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts—0
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering—0
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph—0
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering—0
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models—0
Semantically Smooth Knowledge Graph Embedding—0
Semantic Annotation for Tabular Data—0
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs—0
Semantic Communication Enhanced by Knowledge Graph Representation Learning—0
Semantic Data Management in Data Lakes—0
Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction—0
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All datasetsMARS (Multimodal Analogical Reasoning dataSet)JerichoWorldWikiKG90M-LSCFB15k

Benchmark Results

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