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 1351–1400 of 2974 papers

TitleStatusHype
Creating Knowledge Graphs Subsets using Shape Expressions—0
Information for Conversation Generation: Proposals Utilising Knowledge Graphs—0
GUNDAM: Aligning Large Language Models with Graph Understanding—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration—0
Infusing Knowledge into Large Language Models with Contextual Prompts—0
Augmenting Knowledge Graph Hierarchies Using Neural Transformers—0
Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations—0
Injecting Knowledge Graphs into Large Language Models—0
KG-Hub -- Building and Exchanging Biological Knowledge Graphs—0
Guiding Generative Storytelling with Knowledge Graphs—0
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction—0
Guided Generation of Cause and Effect—0
Integrating 3D City Data through Knowledge Graphs—0
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs—0
Integrating Graph Contextualized Knowledge into Pre-trained Language Models—0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction—0
Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction—0
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection—0
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations—0
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion—0
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle—0
Growing and Serving Large Open-domain Knowledge Graphs—0
Grounding LLM Reasoning with Knowledge Graphs—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
Dialogue Shaping: Empowering Agents through NPC Interaction—0
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Differentiable learning of numerical rules in knowledge graphs—0
Interplay of Semantic Communication and Knowledge Learning—0
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs—0
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers—0
A Neural Architecture for Person Ontology population—0
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective—0
Grid-Based Projection of Spatial Data into Knowledge Graphs—0
Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Investigating Graph Structure Information for Entity Alignment with Dangling Cases—0
COVID-19 and Company Knowledge Graphs: Assessing Golden Powers and Economic Impact of Selective Lockdown via AI Reasoning—0
Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models—0
Large Language Models Can Better Understand Knowledge Graphs Than We Thought—0
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering—0
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis—0
Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods—0
GreaseLM: Graph REASoning Enhanced Language Models—0
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment—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