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 951975 of 2974 papers

TitleStatusHype
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel TrainingCode0
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge GraphsCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Explainable Representations for Relation Prediction in Knowledge GraphsCode0
Collective Entity Alignment via Adaptive FeaturesCode0
Jointly Learning Explainable Rules for Recommendation with Knowledge GraphCode0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge GraphsCode0
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graphCode0
Degree-Aware Alignment for Entities in TailCode0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
Column-Oriented Datalog Materialization for Large Knowledge Graphs (Extended Technical Report)Code0
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender SystemsCode0
Privacy-Preserving Visual Content Tagging using Graph Transformer NetworksCode0
Joint Language Semantic and Structure Embedding for Knowledge Graph CompletionCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Jointly Learning Entity and Relation Representations for Entity AlignmentCode0
KAMEL : Knowledge Analysis with Multitoken Entities in Language ModelsCode0
IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying ScaleCode0
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion ModelsCode0
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based GamesCode0
Iterative Entity Alignment via Joint Knowledge EmbeddingsCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label PropagationCode0
Iteratively Learning Representations for Unseen Entities with Inter-Rule CorrelationsCode0
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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