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 2251–2300 of 2974 papers

TitleStatusHype
Knowledge Graphs and Natural-Language Processing—0
Keyword-Guided Neural Conversational ModelCode1
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation NetworksCode1
Relation-Aware Neighborhood Matching Model for Entity AlignmentCode1
Semantic Annotation for Tabular Data—0
Fork or Fail: Cycle-Consistent Training with Many-to-One MappingsCode1
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion—0
Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphsCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Open Knowledge Graphs Canonicalization using Variational AutoencodersCode1
Aligning geographic entities from historical maps for building knowledge graphs—0
Research Progress of News Recommendation Methods—0
Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning—0
Mapping Patterns for Virtual Knowledge Graphs—0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules—0
P^2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation—0
A General Benchmarking Framework for Text GenerationCode0
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational RecommendationCode0
Dual Attention Network for Cross-lingual Entity Alignment—0
Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language ModelsCode1
Unsupervised Fact Checking by Counter-Weighted Positive and Negative Evidential Paths in A Knowledge Graph—0
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text GenerationCode1
Knowledge Graphs meet Moral ValuesCode0
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples—0
Relation Clustering in Narrative Knowledge Graphs—0
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic ForecastingCode2
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved InterpretabilityCode0
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction—0
Domain-Transferable Method for Named Entity Recognition Task—0
Entity Alignment for Knowledge Graphs with Multi-order Convolutional NetworksCode1
Fact Checking via Path Embedding and Aggregation—0
Tucker decomposition-based Temporal Knowledge Graph CompletionCode0
Association Rules Enhanced Knowledge Graph Attention Network—0
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery—0
Discovering alignment relations with Graph Convolutional Networks: a biomedical case studyCode0
Node Attribute Completion in Knowledge Graphs with Multi-Relational PropagationCode0
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
Complex Query Answering with Neural Link PredictorsCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs—0
Tough Tables: Carefully Evaluating Entity Linking for Tabular DataCode0
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated!—0
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models—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
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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