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 19511975 of 2974 papers

TitleStatusHype
Task2KB: A Public Task-Oriented Knowledge Base0
Taxonomy Enrichment with Text and Graph Vector Representations0
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content0
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation0
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph0
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 20210
Technical Report on Data Integration and Preparation0
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting0
Temporal Knowledge Graph Completion: A Survey0
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding0
Temporal Smoothness Regularisers for Neural Link Predictors0
Tensor Decompositions for Modeling Inverse Dynamics0
Topology-aware Tensor Decomposition for Meta-graph Learning0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing0
Text2Cypher: Bridging Natural Language and Graph Databases0
Text2Zinc: A Cross-Domain Dataset for Modeling Optimization and Satisfaction Problems in MiniZinc0
Text Classification Based on Knowledge Graphs and Improved Attention Mechanism0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models0
Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion0
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks0
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion0
The ContrastMedium Algorithm: Taxonomy Induction From Noisy Knowledge Graphs With Just A Few Links0
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges0
The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models0
The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes0
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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