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 19261950 of 2974 papers

TitleStatusHype
Creating Knowledge Graphs Subsets using Shape Expressions0
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge GraphsCode1
Drug Re-positioning via Text Augmented Knowledge Graph Embeddings0
Knowledge Graph informed Fake News Classification via Heterogeneous Representation EnsemblesCode0
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning0
Temporal Knowledge Graph Reasoning Triggered by MemoriesCode0
Rule Induction in Knowledge Graphs Using Linear ProgrammingCode0
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead0
Graph Neural Networks with Learnable Structural and Positional RepresentationsCode1
Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsCode1
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding0
ActiveEA: Active Learning for Neural Entity AlignmentCode0
TCube: Domain-Agnostic Neural Time-series NarrationCode1
The CaLiGraph Ontology as a Challenge for OWL ReasonersCode0
An Analysis of COVID-19 Knowledge Graph Construction and Applications0
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network0
GNN is a Counter? Revisiting GNN for Question Answering0
Cycle Representation Learning for Inductive Relation PredictionCode0
An energy-based model for neuro-symbolic reasoning on knowledge graphsCode1
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
Kepler-aSI at SemTab 20210
A High-Level Ontology Network for ICT InfrastructuresCode1
Time-aware Relational Graph Attention Network for Temporal Knowledge Graph Embeddings0
TaCE: Time-aware Convolutional Embedding Learning for Temporal Knowledge Graph Completion0
A Topological View of Rule Learning in Knowledge Graphs0
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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