Cover Image

Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Niu, Guanglin
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
by: Niu, Guanglin, et al.
Published: (2025)

Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
by: Niu, Guanglin, et al.
Published: (2025)

A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion
by: Niu, Guanglin, et al.
Published: (2024)

RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion
by: Niu, Guanglin, et al.
Published: (2026)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
by: Nandi, Ananjan, et al.
Published: (2023)

Neural Multimodal Topic Modeling: A Comprehensive Evaluation
by: González-Pizarro, Felipe, et al.
Published: (2024)

IntentGrasp: A Comprehensive Benchmark for Intent Understanding
by: Yin, Yuwei, et al.
Published: (2026)

Uncovering Latent Human Wellbeing in Language Model Embeddings
by: Freire, Pedro, et al.
Published: (2024)

A Survey of the State of Explainable AI for Natural Language Processing
by: Danilevsky, Marina, et al.
Published: (2020)

FETILDA: An Effective Framework For Fin-tuned Embeddings For Long Financial Text Documents
by: Xia, Bolun "Namir", et al.
Published: (2022)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
by: Gao, Yutong, et al.
Published: (2026)

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
by: Bandarkar, Lucas, et al.
Published: (2023)

Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
by: Wang, Fali, et al.
Published: (2025)

Do Models Know Why They Changed Their Mind? Interpretability and Faithfulness of Chain-of-Thought Under Knowledge Conflict
by: Venkata, Pruthvinath Jeripity
Published: (2026)

Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)

GMoE: Empowering LLMs Fine-Tuning via MoE Graph Collaboration
by: Bai, Ting, et al.
Published: (2024)

Graph Memory Transformer (GMT)
by: Zanarini, Nicola, et al.
Published: (2026)

Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)

MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
by: Lan, Guangchen, et al.
Published: (2025)

Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much)
by: Yu, Zony, et al.
Published: (2025)

KNOW: A Real-World Ontology for Knowledge Capture with Large Language Models
by: Bendiken, Arto
Published: (2024)

Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
by: Allen, Bradley P., et al.
Published: (2024)

Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
by: Chaturvedi, Rochana, et al.
Published: (2025)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
by: Ghosh, Shubhra, et al.
Published: (2025)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
by: Günther, Michael, et al.
Published: (2023)

Major Entity Identification: A Generalizable Alternative to Coreference Resolution
by: Manikantan, Kawshik, et al.
Published: (2024)

Dealing with Annotator Disagreement in Hate Speech Classification
by: Dehghan, Somaiyeh, et al.
Published: (2025)

Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
by: Hong, Chunsan, et al.
Published: (2025)

Detecting Hallucinations in Large Language Model Generation: A Token Probability Approach
by: Quevedo, Ernesto, et al.
Published: (2024)

Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models
by: Kurtic, Eldar, et al.
Published: (2024)

IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
by: Manikantan, Kawshik, et al.
Published: (2024)

Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks
by: Zhang, Chuyifei, et al.
Published: (2026)

Three Regimes of Context-Parametric Conflict: A Predictive Framework and Empirical Validation
by: Venkata, Pruthvinath Jeripity
Published: (2026)

ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
by: Vieira, Inês, et al.
Published: (2026)

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation
by: Hassell, Jackson, et al.
Published: (2025)