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 2001–2050 of 2974 papers

TitleStatusHype
Tokensome: Towards a Genetic Vision-Language GPT for Explainable and Cognitive Karyotyping—0
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems—0
Topic Modeling and Link-Prediction for Material Property Discovery—0
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network—0
Toward Knowledge-Enriched Conversational Recommendation Systems—0
Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding—0
Towards a Knowledge Graph based Speech Interface—0
Towards a Knowledge Graph for Teaching Knowledge Graphs—0
Towards a Linking between WordNet and Wikidata—0
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing—0
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight—0
Towards a Theoretical Understanding of Word and Relation Representation—0
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis—0
Applications of knowledge graphs for food science and industry—0
Towards Combinational Relation Linking over Knowledge Graphs—0
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs—0
Towards Discourse Parsing-inspired Semantic Storytelling—0
Towards Efficient Large-Scale Graph Neural Network Computing—0
Towards Evaluating Large Language Models for Graph Query Generation—0
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs—0
Towards Knowledge-Centric Process Mining—0
Towards Knowledge Graphs Validation through Weighted Knowledge Sources—0
Towards Learning Cross-Modal Perception-Trace Models—0
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference—0
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation—0
Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs—0
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding—0
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs—0
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Time-Aware Knowledge Graph Completion—0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective—0
Towards Understanding the Evolution of Vocabulary Terms in Knowledge Graphs—0
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
TRACE: Tensorizing and Generalizing Supernets from Neural Architecture Search—0
Tracking the progress of Language Models by extracting their underlying Knowledge Graphs—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs—0
TransBox: EL++-closed Ontology Embedding—0
Transfer in Deep Reinforcement Learning using Knowledge Graphs—0
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts—0
Transformer-based Subject Entity Detection in Wikipedia Listings—0
Transformers for Complex Query Answering over Knowledge Hypergraphs—0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties—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