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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2350 of 2974 papers

TitleStatusHype
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Domain-specific Knowledge Graphs: A survey—0
A Critical Assessment of State-of-the-Art in Entity AlignmentCode1
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable RecommendationCode1
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly DomainCode1
A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
Improving Neural Text Summarization using Knowledge Graphs—0
Pre-training Text-to-Text Transformers for Concept-centric Common SenseCode1
Learning Contextualized Knowledge Structures for Commonsense ReasoningCode1
FedE: Embedding Knowledge Graphs in Federated SettingCode1
Learning to Deceive Knowledge Graph Augmented Models via Targeted PerturbationCode0
UNER: Universal Named-Entity RecognitionFramework—0
One-shot Learning for Temporal Knowledge Graphs—0
Language Models are Open Knowledge GraphsCode1
An Industry Evaluation of Embedding-based Entity AlignmentCode1
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
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge GraphsCode1
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
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph—0
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?—0
Distributed Representations of Entities in Open-World Knowledge Graphs—0
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs—0
GMH: A General Multi-hop Reasoning Model for KG Completion—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
Motif Learning in Knowledge Graphs Using Trajectories Of Differential Equations—0
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsCode1
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs—0
Exploiting Knowledge Graphs for Facilitating Product/Service Discovery—0
RNNLogic: Learning Logic Rules for Reasoning on Knowledge GraphsCode1
Inductive Entity Representations from Text via Link PredictionCode1
TeMP: Temporal Message Passing for Temporal Knowledge Graph CompletionCode1
Knowledge Association with Hyperbolic Knowledge Graph EmbeddingsCode1
LEAPME: Learning-based Property Matching with Embeddings—0
MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning—0
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph SummarizationCode1
Knowledge Graph Embeddings in Geometric Algebras—0
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding—0
A Practice of Tourism Knowledge Graph Construction based on Heterogeneous Information—0
OWL2Vec*: Embedding of OWL OntologiesCode1
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion—0
CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language ModelsCode1
Zero-Shot Learning with Common Sense Knowledge Graphs—0
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Visual Pivoting for (Unsupervised) Entity AlignmentCode1
Information Obfuscation of Graph Neural NetworksCode1
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational AssumptionsCode0
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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