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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2651–2675 of 2974 papers

TitleStatusHype
An Ensemble-based approach for assigning text to correct Harmonized system code—0
Explainable Entity-based Recommendations with Knowledge Graphs—0
Explainable Fact Checking with Probabilistic Answer Set Programming—0
Explainable GNN-Based Models over Knowledge Graphs—0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency—0
A Categorical Representation Language and Computational System for Knowledge-Based Planning—0
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning—0
Explainable Session-based Recommendation via Path Reasoning—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
Explaining Graph Neural Networks for Node Similarity on Graphs—0
Explaining Knowledge Graph Embedding via Latent Rule Learning—0
Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion—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
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—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
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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