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 2401–2425 of 2974 papers

TitleStatusHype
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph CompletionCode0
Linking OpenStreetMap with Knowledge Graphs -- Link Discovery for Schema-Agnostic Volunteered Geographic Information—0
KompaRe: A Knowledge Graph Comparative Reasoning System—0
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs—0
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!—0
Out-of-Sample Representation Learning for Knowledge Graphs—0
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs—0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization—0
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models—0
Tough Tables: Carefully Evaluating Entity Linking for Tabular DataCode0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Domain-specific Knowledge Graphs: A survey—0
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
Learning to Deceive Knowledge Graph Augmented Models via Targeted PerturbationCode0
Improving Neural Text Summarization using Knowledge Graphs—0
One-shot Learning for Temporal Knowledge Graphs—0
UNER: Universal Named-Entity RecognitionFramework—0
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based GamesCode0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing—0
Privacy-Preserving Visual Content Tagging using Graph Transformer NetworksCode0
Privacy-Preserving Visual Content Tagging using Graph Transformer NetworksCode0
Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph—0
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs—0
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?—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