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 1551–1575 of 2974 papers

TitleStatusHype
MG-BERT: Multi-Graph Augmented BERT for Masked Language Modeling—0
MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
SoftNER: Mining Knowledge Graphs From Cloud Incidents—0
Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing—0
APPTeK: Agent-Based Predicate Prediction in Temporal Knowledge Graphs—0
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval—0
Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study—0
Mitigating Relational Bias on Knowledge Graphs—0
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion—0
MixedEmotions: Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets—0
MixKG: Mixing for harder negative samples in knowledge graph—0
Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs—0
MKGL: Mastery of a Three-Word Language—0
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering—0
MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoning—0
Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs—0
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion—0
MoCoSA: Momentum Contrast for Knowledge Graph Completion with Structure-Augmented Pre-trained Language Models—0
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering—0
Modeling Drug-Disease Relations with Linguistic and Knowledge Graph Constraints—0
Modeling electronic health record data using a knowledge-graph-embedded topic model—0
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning—0
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs—0
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment—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