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 20762100 of 2974 papers

TitleStatusHype
Bridging LLMs and KGs without Fine-Tuning: Intermediate Probing Meets Subgraph-Aware Entity Descriptions0
Unsupervised Construction of Knowledge Graphs From Text and Code0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection0
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph0
Unsupervised Hierarchical Grouping of Knowledge Graph Entities0
Unsupervised multiple choices question answering via universal corpus0
Unveiling Hidden Links Between Unseen Security Entities0
Updating Embeddings for Dynamic Knowledge Graphs0
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph0
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data0
Using Causal Threads to Explain Changes in a Dynamic System0
Using ConceptNet to Teach Common Sense to an Automated Theorem Prover0
Using GPT-4 to guide causal machine learning0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms0
Using Mapping Languages for Building Legal Knowledge Graphs from XML Files0
Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses0
Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering0
Validating ChatGPT Facts through RDF Knowledge Graphs and Sentence Similarity0
Variational Knowledge Graph Reasoning0
Variational Quantum Circuit Model for Knowledge Graphs Embedding0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs0
Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference0
VEL: A Formally Verified Reasoner for OWL2 EL Profile0
VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion0
Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning0
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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