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 1451–1475 of 2974 papers

TitleStatusHype
Visual Traffic Knowledge Graph Generation from Scene Images—0
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality HybridCode1
Democratising Knowledge Representation with BioCypher—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Variational Reasoning over Incomplete Knowledge Graphs for Conversational RecommendationCode1
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree OptimizationCode1
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference—0
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and MultimodalCode3
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Expanding Knowledge Graphs with Humans in the Loop—0
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks—0
CKG: Dynamic Representation Based on Context and Knowledge Graph—0
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems—0
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge GraphsCode0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base CompletionCode0
Utilizing Background Knowledge for Robust Reasoning over Traffic SituationsCode0
KPT: Keyword-guided Pre-training for Grounded Dialog Generation—0
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph—0
Knowledge Graph Quality Evaluation under Incomplete Information—0
A Probabilistic-Logic based Commonsense Representation Framework for Modelling Inferences with Multiple Antecedents and Varying Likelihoods—0
Weisfeiler and Leman Go RelationalCode0
Dependency-aware Self-training for Entity AlignmentCode0
Lifelong Embedding Learning and Transfer for Growing Knowledge GraphsCode1
Guiding Neural Entity Alignment with CompatibilityCode0
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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