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 601–625 of 2974 papers

TitleStatusHype
Progressively Modality Freezing for Multi-Modal Entity AlignmentCode1
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph—0
Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation TextsCode0
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models—0
HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research—0
PRAGyan -- Connecting the Dots in Tweets—0
Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive LearningCode0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial MarketsCode2
Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive PropagationCode0
Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP EducationCode1
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationCode2
Generating SROI^- Ontologies via Knowledge Graph Query Embedding LearningCode0
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents—0
Explaining Graph Neural Networks for Node Similarity on Graphs—0
Combining Knowledge Graphs and Large Language Models—0
Simple and Interpretable Probabilistic Classifiers for Knowledge GraphsCode0
MST5 -- Multilingual Question Answering over Knowledge GraphsCode0
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise QuestionsCode0
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph EmbeddingCode0
Heterogeneous Hypergraph Embedding for Recommendation SystemsCode0
Neural Probabilistic Logic Learning for Knowledge Graph Reasoning—0
MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI ApplicationsCode1
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network—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