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 1601–1650 of 2974 papers

TitleStatusHype
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak SupervisionCode0
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QACode1
Getting Quechua Closer to Final Users through Knowledge Graphs—0
Utilizing Language Models to Expand Vision-Based Commonsense Knowledge GraphsCode0
Knowledge Graph Curation: A Practical Framework—0
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph CompletionCode1
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs—0
Steps to Knowledge Graphs Quality Assessment—0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
Multi-modal Siamese Network for Entity AlignmentCode1
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge GraphsCode0
Engineering Semantic Communication: A Survey—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations—0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Neuro-symbolic computing with spiking neural networksCode1
CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations—0
Recognizing and Extracting Cybersecurtity-relevant Entities from Text—0
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering—0
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge GraphsCode1
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions—0
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text InjectionCode1
AutoWeird: Weird Translational Scoring Function Identified by Random Search—0
Enhancing Document-level Relation Extraction by Entity Knowledge InjectionCode1
Facing Changes: Continual Entity Alignment for Growing Knowledge GraphsCode1
μKG: A Library for Multi-source Knowledge Graph Embeddings and ApplicationsCode1
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs—0
On a Generalized Framework for Time-Aware Knowledge Graphs—0
Duplicate Detection as a Service—0
Efficient Dependency Analysis for Rule-Based OntologiesCode0
Step by step: a hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learningCode0
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue GenerationCode0
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network—0
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph EmbeddingsCode1
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future DirectionsCode0
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities—0
VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion—0
Disentangled Action Recognition with Knowledge Bases—0
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph CompletionCode0
PerKGQA: Question Answering over Personalized Knowledge Graphs—0
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods—0
StATIK: Structure and Text for Inductive Knowledge Graph CompletionCode1
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
A Systematic Survey of Text Worlds as Embodied Natural Language Environments—0
Enriching Wikidata with Linked Open Data—0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
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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