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 2601–2650 of 2974 papers

TitleStatusHype
Unsupervised Construction of Knowledge Graphs From Text and Code—0
Entity Extraction from Wikipedia List Pages—0
Entity Prediction in Knowledge Graphs with Joint Embeddings—0
Entity Profiling in Knowledge Graphs—0
Entity Type Prediction in Knowledge Graphs using Embeddings—0
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering—0
Semantic-Guided RL for Interpretable Feature Engineering—0
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs—0
A Neural Architecture for Person Ontology population—0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification—0
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks—0
Semantic relatedness in DBpedia: A comparative and experimental assessment—0
Semantic Representation and Inference for NLP—0
Semantic Parsing for Question Answering over Knowledge Graphs—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?—0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis—0
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding—0
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies—0
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph—0
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning—0
Semantics, Ontology and Explanation—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
EventKG: A Multilingual Event-Centric Temporal Knowledge Graph—0
EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation—0
EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph—0
A*Net and NBFNet Learn Negative Patterns on Knowledge Graphs—0
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning—0
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs—0
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs—0
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems—0
Semantic Web and Creative AI -- A Technical Report from ISWS 2023—0
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs—0
Information Flow in Graph Neural Networks: A Clinical Triage Use Case—0
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
ExKG-LLM: Leveraging Large Language Models for Automated Expansion of Cognitive Neuroscience Knowledge Graphs—0
SemEval-2021 Task 8: MeasEval -- Extracting Counts and Measurements and their Related Contexts—0
Expanding Holographic Embeddings for Knowledge Completion—0
Expanding Knowledge Graphs with Humans in the Loop—0
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity—0
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning—0
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection—0
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on 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