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

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Showing 1276–1300 of 2974 papers

TitleStatusHype
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization—0
Federated Neural Graph Databases—0
A State-transition Framework to Answer Complex Questions over Knowledge Base—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors—0
Complexity of Arithmetic in Warded Datalog+-—0
FAQ-based Question Answering via Knowledge Anchors—0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison—0
Association Rules Enhanced Knowledge Graph Attention Network—0
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba—0
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Fairness-Aware Explainable Recommendation over Knowledge Graphs—0
Comparison of Metadata Representation Models for Knowledge Graph Embeddings—0
Fair comparison of knowledge graphs for question answering—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs—0
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment—0
Company Competition Graph—0
Compact Lexicon Selection with Spectral Methods—0
Fact Checking via Path Embedding and Aggregation—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—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