Cover Image

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sawczyn, Albert, Binkowski, Jakub, Bielak, Piotr, Kajdanowicz, Tomasz
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
by: Sawczyn, Albert, et al.
Published: (2026)

Hallucination Detection in LLMs Using Spectral Features of Attention Maps
by: Binkowski, Jakub, et al.
Published: (2025)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)

The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
by: Sawczyn, Albert, et al.
Published: (2024)

Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)

Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)

Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)

Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)

Knowledge Graph Embeddings with Representing Relations as Annular Sectors
by: Zhu, Huiling, et al.
Published: (2025)

Representation learning in multiplex graphs: Where and how to fuse information?
by: Bielak, Piotr, et al.
Published: (2024)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

Progressive Knowledge Graph Completion
by: Li, Jiayi, et al.
Published: (2024)

Towards Semantically Enriched Embeddings for Knowledge Graph Completion
by: Alam, Mehwish, et al.
Published: (2023)

A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025)

From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
by: Cai, Borui, et al.
Published: (2023)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)

Interpretable Question Answering with Knowledge Graphs
by: Aneja, Kartikeya, et al.
Published: (2025)

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
by: Xiao, Yongkang, et al.
Published: (2025)

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
by: Ma, Tengfei, et al.
Published: (2024)

Model-based Subsampling for Knowledge Graph Completion
by: Feng, Xincan, et al.
Published: (2023)

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
by: Sansford, Hannah, et al.
Published: (2024)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
by: Liao, Ruotong, et al.
Published: (2023)

KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
by: Zhou, Zelin, et al.
Published: (2025)

KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
by: Zheng, Shangshang, et al.
Published: (2023)

A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
by: Kabal, Othmane, et al.
Published: (2026)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
by: Wen, Yilin, et al.
Published: (2023)

Distributed Representations of Entities in Open-World Knowledge Graphs
by: Guo, Lingbing, et al.
Published: (2020)

Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
by: Ma, Ying, et al.
Published: (2024)

Power Transformer Fault Prediction Based on Knowledge Graphs
by: Wang, Chao, et al.
Published: (2024)

Temporal Knowledge Graph Question Answering: A Survey
by: Su, Miao, et al.
Published: (2024)

Efficient Relational Context Perception for Knowledge Graph Completion
by: Tu, Wenkai, et al.
Published: (2024)

Learning Granularity Representation for Temporal Knowledge Graph Completion
by: Zhang, Jinchuan, et al.
Published: (2024)

Affordable AI Assistants with Knowledge Graph of Thoughts
by: Besta, Maciej, et al.
Published: (2025)

Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
by: Shang, Tianqi, et al.
Published: (2024)