Copertina

On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shirvani-Mahdavi, Nasim, Akrami, Farahnaz, Li, Chengkai
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
di: Shirvani-Mahdavi, Nasim, et al.
Pubblicazione: (2025)

Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules
di: Shirvani-Mahdavi, Nasim, et al.
Pubblicazione: (2025)

Model Merging via Multi-Teacher Knowledge Distillation
di: Dalili, Seyed Arshan, et al.
Pubblicazione: (2025)

Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
di: Wang, Lingzhi, et al.
Pubblicazione: (2025)

Croppable Knowledge Graph Embedding
di: Zhu, Yushan, et al.
Pubblicazione: (2024)

Progressive Knowledge Graph Completion
di: Li, Jiayi, et al.
Pubblicazione: (2024)

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
di: Li, Rui, et al.
Pubblicazione: (2024)

Knowledge Graph Completion by Intermediate Variables Regularization
di: Xiao, Changyi, et al.
Pubblicazione: (2025)

Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
di: Xiao, Changyi, et al.
Pubblicazione: (2024)

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

Embedding Knowledge Graph in Function Spaces
di: Teyou, Louis Mozart Kamdem, et al.
Pubblicazione: (2024)

Knowledge Graph Embedding by Normalizing Flows
di: Xiao, Changyi, et al.
Pubblicazione: (2024)

How to Turn Your Knowledge Graph Embeddings into Generative Models
di: Loconte, Lorenzo, et al.
Pubblicazione: (2023)

Harnessing Optimization Dynamics for Curvature-Informed Model Merging
di: Mahdavinia, Pouria, et al.
Pubblicazione: (2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
di: Liu, Lihui, et al.
Pubblicazione: (2025)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
di: Liu, Ben, et al.
Pubblicazione: (2024)

Unifying Post-hoc Explanations of Knowledge Graph Completions
di: Lonardi, Alessandro, et al.
Pubblicazione: (2025)

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies
di: Theodoropoulos, Christos, et al.
Pubblicazione: (2024)

VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings
di: Efthymiou, Athanasios, et al.
Pubblicazione: (2026)

Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
di: Cai, Li, et al.
Pubblicazione: (2024)

Embedding Knowledge Graphs in Degenerate Clifford Algebras
di: Teyou, Louis Mozart Kamdem, et al.
Pubblicazione: (2024)

Fully Hyperbolic Rotation for Knowledge Graph Embedding
di: Liang, Qiuyu, et al.
Pubblicazione: (2024)

The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models
di: Cattaneo, Alberto, et al.
Pubblicazione: (2024)

Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
di: Yang, Chengkai, et al.
Pubblicazione: (2025)

Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
di: Zhang, Xiaoxiong, et al.
Pubblicazione: (2024)

Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion
di: Shomer, Harry, et al.
Pubblicazione: (2024)

From Graph Diffusion to Graph Classification
di: Xian, Jia Jun Cheng, et al.
Pubblicazione: (2024)

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
di: Quan, Xuan-Truong, et al.
Pubblicazione: (2025)

OntoAligner Meets Knowledge Graph Embedding Aligners
di: Giglou, Hamed Babaei, et al.
Pubblicazione: (2025)

Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
di: Pons, Gerard, et al.
Pubblicazione: (2026)

RulE: Knowledge Graph Reasoning with Rule Embedding
di: Tang, Xiaojuan, et al.
Pubblicazione: (2022)

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

SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
di: Le, Trung Hoang, et al.
Pubblicazione: (2025)

Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
di: Hoang, Van Thuy, et al.
Pubblicazione: (2025)

Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
di: Fang, Zhiyu, et al.
Pubblicazione: (2024)

A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid
di: Chanda, Dibaloke, et al.
Pubblicazione: (2023)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
di: Klironomos, Antonis, et al.
Pubblicazione: (2026)

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
di: Chaki, Sayan Kumar
Pubblicazione: (2026)

Path-based Explanation for Knowledge Graph Completion
di: Chang, Heng, et al.
Pubblicazione: (2024)

Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
di: Wei, Wanxu, et al.
Pubblicazione: (2024)