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 751775 of 2974 papers

TitleStatusHype
KG-BERT: BERT for Knowledge Graph CompletionCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic EmbeddingsCode0
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented GenerationCode0
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language RepresentationCode0
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise QuestionsCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News MediaCode0
Do Language Models Perform Generalizable Commonsense Inference?Code0
Binarized Knowledge Graph EmbeddingsCode0
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with ConfidenceCode0
KAMEL : Knowledge Analysis with Multitoken Entities in Language ModelsCode0
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?Code0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
K-BERT: Enabling Language Representation with Knowledge GraphCode0
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender SystemsCode0
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement LearningCode0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Annotative IndexingCode0
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity LinkingCode0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language ModelsCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
Jointly Learning Explainable Rules for Recommendation with Knowledge GraphCode0
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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