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 26262650 of 2974 papers

TitleStatusHype
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding0
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph CompletionCode0
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle0
Research Commentary on Recommendations with Side Information: A Survey and Research Directions0
K-BERT: Enabling Language Representation with Knowledge GraphCode0
Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks0
RuDaS: Synthetic Datasets for Rule Learning and Evaluation ToolsCode0
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph0
How to make latent factors interpretable by feeding Factorization machines with knowledge graphsCode0
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion0
KG-BERT: BERT for Knowledge Graph CompletionCode0
Structured Query Construction via Knowledge Graph Embedding0
Identifying and Explaining Discriminative AttributesCode0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context GranularityCode0
A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks0
Incorporating Domain Knowledge into Medical NLI using Knowledge GraphsCode0
Neural Snowball for Few-Shot Relation LearningCode0
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksCode0
Unsupervised Construction of Knowledge Graphs From Text and Code0
Show:102550
← PrevPage 106 of 119Next →

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