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

Showing 15511575 of 2974 papers

TitleStatusHype
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball0
Variational Quantum Circuit Model for Knowledge Graphs Embedding0
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration0
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion0
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries0
Knowledge Graph and Text Jointly Embedding0
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation0
Computable News Ecosystems: Roles for Humans and Machines0
A Joint Training Framework for Open-World Knowledge Graph Embeddings0
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning0
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing0
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs0
A Joint-Reasoning based Disease Q&A System0
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges0
Knowledge Graph Completion with Pre-trained Multimodal Transformer and Twins Negative Sampling0
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs0
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey0
Temporal Knowledge Graph Completion: A Survey0
Knowledge Graph Curation: A Practical Framework0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces0
Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy0
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MarT_MKGformerMRR0.34Unverified
2MKGformerMRR0.32Unverified
3MarT_FLAVAMRR0.29Unverified
4ViLBERTMRR0.29Unverified
5IKRL (ANALOGY)MRR0.28Unverified
6IKRLMRR0.27Unverified
7ViLTMRR0.26Unverified
8TransAEMRR0.22Unverified
#ModelMetricClaimedVerifiedStatus
1WorldformerSet accuracy39.15Unverified
2Q*BERTSet accuracy32.78Unverified
3GATA-WSet accuracy24.06Unverified
4WorldformerSet accuracy23.22Unverified
5Seq2SeqSet accuracy14.29Unverified
6RulesSet accuracy4.7Unverified
#ModelMetricClaimedVerifiedStatus
1TransE-ConcatTest MRR85.48Unverified
2ComplEx-ConcatTest MRR0.86Unverified
3ComplEx-RoBERTaTest MRR0.72Unverified
4TransE-RoBERTaTest MRR0.63Unverified
#ModelMetricClaimedVerifiedStatus
1COMPLEXMRR0.59Unverified