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 1701–1725 of 2974 papers

TitleStatusHype
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
Clustering Semantic Predicates in the Open Research Knowledge Graph—0
Learning Deep Generative Models of Graphs—0
CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge—0
AGI for Agriculture—0
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes—0
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning—0
Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning—0
Classifying Organizations for Food System Ontologies using Natural Language Processing—0
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining—0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models—0
Learning Graph Representations—0
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs—0
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection—0
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding—0
Learning Knowledge Graph-based World Models of Textual Environments—0
Learning Knowledge Graphs for Question Answering through Conversational Dialog—0
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction—0
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge—0
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs—0
Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization—0
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and 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