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 951–1000 of 2974 papers

TitleStatusHype
DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction—0
A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners—0
DRILL-- Deep Reinforcement Learning for Refinement Operators in ALC—0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
DREIFLUSS: A Minimalist Approach for Table Matching—0
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network—0
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs—0
Explaining GNN over Evolving Graphs using Information Flow—0
Adversarial Transformer Language Models for Contextual Commonsense Inference—0
Getting Quechua Closer to Final Users through Knowledge Graphs—0
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment—0
Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Exploiting Knowledge Graphs for Facilitating Product/Service Discovery—0
GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models—0
Combining Embedding-Based and Semantic-Based Models for Post-hoc Explanations in Recommender Systems—0
GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction—0
Exploiting Transitivity Constraints for Entity Matching in Knowledge Graphs—0
Exploration and Discovery of the COVID-19 Literature through Semantic Visualization—0
Exploratory Neural Relation Classification for Domain Knowledge Acquisition—0
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph—0
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
Exploring knowledge graph-based neural-symbolic system from application perspective—0
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning—0
BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights—0
Exploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching—0
An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards—0
Domain-Transferable Method for Named Entity Recognition Task—0
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation—0
Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships—0
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network—0
Geospatial Knowledge Graphs—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Domain-specific Knowledge Graphs: A survey—0
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models—0
EXTRACT: Explainable Transparent Control of Bias in Embeddings—0
Extracting Conceptual Knowledge from Natural Language Text Using Maximum Likelihood Principle—0
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results—0
Domain Adaptation for Large-Vocabulary Object Detectors—0
Biographical: A Semi-Supervised Relation Extraction Dataset—0
Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale—0
DOLORES: Deep Contextualized Knowledge Graph Embeddings—0
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning—0
Do KG-augmented Models Leverage Knowledge as Humans Do?—0
An Online Question Answering System based on Sub-graph Searching—0
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment—0
GeoRDF2Vec Learning Location-Aware Entity Representations in Knowledge Graphs—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