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 1701–1725 of 2974 papers

TitleStatusHype
Relational representation learning with spike trains—0
Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer—0
SKILL: Structured Knowledge Infusion for Large Language Models—0
Neural-Symbolic Models for Logical Queries on Knowledge GraphsCode1
Kronecker Decomposition for Knowledge Graph EmbeddingsCode1
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?Code1
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation LearningCode3
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated SettingCode1
It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects—0
SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph—0
Dangling-Aware Entity Alignment with Mixed High-Order Proximities—0
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes—0
Entity-aware Transformers for Entity SearchCode1
Biographical: A Semi-Supervised Relation Extraction Dataset—0
Knowledge Graph Contrastive Learning for RecommendationCode1
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion—0
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge GraphsCode1
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—0
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic EmbeddingsCode0
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense InferenceCode1
Toward Knowledge-Enriched Conversational Recommendation Systems—0
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy—0
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph—0
Uncovering Values: Detecting Latent Moral Content from Natural Language with Explainable and Non-Trained MethodsCode0
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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