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

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Showing 2101–2150 of 2974 papers

TitleStatusHype
Towards Ontologically Grounded and Language-Agnostic Knowledge Graphs—0
On Event-Driven Knowledge Graph Completion in Digital Factories—0
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding—0
On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs—0
On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains—0
Towards Optimisation of Collaborative Question Answering over Knowledge Graphs—0
On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL—0
Online Knowledge Integration for 3D Semantic Mapping: A Survey—0
On Masked Language Models for Contextual Link Prediction—0
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs—0
Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion—0
On the Capabilities of Pointer Networks for Deep Deductive Reasoning—0
On the Evolution of Knowledge Graphs: A Survey and Perspective—0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding—0
On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphs—0
On the Relationship between Shy and Warded Datalog+/-—0
Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs—0
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
On the Use of Entity Embeddings from Pre-Trained Language Models for Knowledge Graph Completion—0
Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines—0
Ontologies in Digital Twins: A Systematic Literature Review—0
Ontology-enhanced Prompt-tuning for Few-shot Learning—0
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types—0
Active Inference AI Systems for Scientific Discovery—0
Ontology Population using LLMs—0
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios—0
A Universal Knowledge Model and Cognitive Architecture for Prototyping AGI—0
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks—0
OpenAg: Democratizing Agricultural Intelligence—0
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets—0
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs—0
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion—0
Open-domain Factoid Question Answering via Knowledge Graph Search—0
Open-Domain Question Answering with Pre-Constructed Question Spaces—0
Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs—0
Towards Time-Aware Knowledge Graph Completion—0
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge—0
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective—0
Towards Understanding the Evolution of Vocabulary Terms in Knowledge Graphs—0
Open-World Visual Recognition Using Knowledge Graphs—0
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs—0
Optimization of Retrieval Algorithms on Large Scale Knowledge Graphs—0
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning—0
Order Matters: Matching Multiple 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
Augmenting Knowledge Graph Hierarchies Using Neural Transformers—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—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