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 401–450 of 2974 papers

TitleStatusHype
MMKG: Multi-Modal Knowledge GraphsCode1
Modeling Global and Local Node Contexts for Text Generation from Knowledge GraphsCode1
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
Enhancing High-order Interaction Awareness in LLM-based Recommender ModelCode1
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational RepresentationsCode1
Modeling Worlds in TextCode1
Application of Knowledge Graphs to Provide Side Information for Improved Recommendation AccuracyCode1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph EmbeddingCode1
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation ExtractionCode1
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable RecommendationCode1
Multi-granularity Temporal Question Answering over Knowledge GraphsCode1
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph CompletionCode1
GreenKGC: A Lightweight Knowledge Graph Completion MethodCode1
Entity-aware Transformers for Entity SearchCode1
Can Knowledge Graphs Simplify Text?Code1
FactKG: Fact Verification via Reasoning on Knowledge GraphsCode1
Can LLMs be Good Graph Judge for Knowledge Graph Construction?Code1
History repeats Itself: A Baseline for Temporal Knowledge Graph ForecastingCode1
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge GraphsCode1
Event Prediction using Case-Based Reasoning over Knowledge GraphsCode1
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic SegmentationCode1
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsCode1
ComFact: A Benchmark for Linking Contextual Commonsense KnowledgeCode1
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsCode1
A Toolkit for Generating Code Knowledge GraphsCode1
Information Obfuscation of Graph Neural NetworksCode1
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian DistributionsCode1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge GraphsCode1
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge GraphsCode1
A High-Level Ontology Network for ICT InfrastructuresCode1
Causality-aware Concept Extraction based on Knowledge-guided PromptingCode1
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use caseCode1
Common Sense Enhanced Knowledge-based Recommendation with Large Language ModelCode1
GraphArena: Benchmarking Large Language Models on Graph Computational ProblemsCode1
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
ODA: Observation-Driven Agent for integrating LLMs and Knowledge GraphsCode1
OGB-LSC: A Large-Scale Challenge for Machine Learning on GraphsCode1
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural NetworksCode1
Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group LeadersCode1
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph CompletionCode1
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Extracting Summary Knowledge Graphs from Long DocumentsCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Generative Adversarial Zero-Shot Relational Learning for Knowledge GraphsCode1
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based ResultsCode1
Fast and Continual Knowledge Graph Embedding via Incremental LoRACode1
Faithfully Explainable Recommendation via Neural Logic ReasoningCode1
CoDEx: A Comprehensive Knowledge Graph Completion BenchmarkCode1
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch SimilaritiesCode1
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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