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 1251–1300 of 2974 papers

TitleStatusHype
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
Dangling-Aware Entity Alignment with Mixed High-Order Proximities—0
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback—0
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets—0
Is Knowledge Embedding Fully Exploited in Language Understanding? An Empirical Study—0
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities—0
Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs—0
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction—0
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning—0
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset—0
Cross-Document Contextual Coreference Resolution in Knowledge Graphs—0
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks—0
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs—0
Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy—0
Hyperbolic Graph Representation Learning: A Tutorial—0
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings—0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies—0
iTelos -- Purpose Driven Knowledge Graph Generation—0
It's the Same Old Story! Enriching Event-Centric Knowledge Graphs by Narrative Aspects—0
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation—0
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring—0
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT—0
Interactive Contrastive Learning for Self-supervised Entity Alignment—0
Distributed Representations of Entities in Open-World Knowledge Graphs—0
Automated Radiology Report Generation: A Review of Recent Advances—0
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance—0
Croppable Knowledge Graph Embedding—0
Invited talk: From Data to Meaning in Representation of Emotions—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments—0
HapPenIng: Happen, Predict, Infer -- Event Series Completion in a Knowledge Graph—0
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion—0
CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs—0
Investigating Graph Structure Information for Entity Alignment with Dangling Cases—0
Improved Knowledge Graph Embedding using Background Taxonomic Information—0
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning—0
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users—0
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being—0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Creating Knowledge Graphs Subsets using Shape Expressions—0
GUNDAM: Aligning Large Language Models with Graph Understanding—0
Augmenting Knowledge Graph Hierarchies Using Neural Transformers—0
Improving Graph Convolutional Networks with Non-Parametric Activation Functions—0
Improving Harmful Text Detection with Joint Retrieval and External Knowledge—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