Imagen de Portada

Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei, Wanxu, Song, Yitong, Yao, Bin
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System
por: Frenken, Robert, et al.
Publicado: (2025)

SynergyKGC: Reconciling Topological Heterogeneity in Knowledge Graph Completion via Topology-Aware Synergy
por: Zou, Xuecheng, et al.
Publicado: (2026)

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

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

Multi-Stage Knowledge-Distilled VGAE and GAT for Robust Controller-Area-Network Intrusion Detection
por: Frenken, Robert, et al.
Publicado: (2025)

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

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

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

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
por: Zhao, Mengjie, et al.
Publicado: (2023)

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

Progressive Knowledge Graph Completion
por: Li, Jiayi, et al.
Publicado: (2024)

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

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
por: Chen, Qin, et al.
Publicado: (2025)

Enhancing Transformer with GNN Structural Knowledge via Distillation: A Novel Approach
por: Duan, Zhihua, et al.
Publicado: (2025)

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

On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
por: Shirvani-Mahdavi, Nasim, et al.
Publicado: (2025)

A Versatile Graph Learning Approach through LLM-based Agent
por: Wei, Lanning, et al.
Publicado: (2023)

MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
por: Chen, Jiawen, et al.
Publicado: (2025)

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

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

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

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

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
por: Wei, Chu-Yuan, et al.
Publicado: (2025)

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

Learning to Select MCP Algorithms: From Traditional ML to Dual-Channel GAT-MLP
por: Li, Xiang, et al.
Publicado: (2025)

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

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

FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
por: Li, Xiang, et al.
Publicado: (2025)

Knowledge Graph Completion with Mixed Geometry Tensor Factorization
por: Yusupov, Viacheslav, et al.
Publicado: (2025)

TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
por: Gao, Xinyu
Publicado: (2025)

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
por: Jiang, Pengcheng, et al.
Publicado: (2023)

Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
por: Zhou, Wei, et al.
Publicado: (2026)

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
por: Wang, Ta-Yang, et al.
Publicado: (2026)

PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
por: Ezeakunne, Chidozie, et al.
Publicado: (2026)

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
por: Li, Junxian, et al.
Publicado: (2024)

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
por: Yang, Shenzhi, et al.
Publicado: (2025)

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

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
por: Khalvandi, Fatemeh, et al.
Publicado: (2026)

Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
por: Park, Jongmin, et al.
Publicado: (2024)