Copertina

Learning Attention-based Representations from Multiple Patterns for Relation Prediction in Knowledge Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lourenço, Vítor, Paes, Aline
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
di: Amouzouvi, Kossi, et al.
Pubblicazione: (2025)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
di: Chung, Chanyoung, et al.
Pubblicazione: (2023)

Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
di: Lourenço, Vítor N., et al.
Pubblicazione: (2025)

Graph Attention-based Adaptive Transfer Learning for Link Prediction
di: Lu, Huashen, et al.
Pubblicazione: (2025)

Knowledge Probing for Graph Representation Learning
di: Zhao, Mingyu, et al.
Pubblicazione: (2024)

KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
di: Lourenço, Vítor N., et al.
Pubblicazione: (2026)

Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
di: He, Yunjie, et al.
Pubblicazione: (2023)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
di: Sun, Zhongtian, et al.
Pubblicazione: (2025)

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
di: Lee, Jaejun, et al.
Pubblicazione: (2024)

Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
di: Huang, Chao, et al.
Pubblicazione: (2024)

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
di: Liu, Tianyu, et al.
Pubblicazione: (2024)

Graph-level Protein Representation Learning by Structure Knowledge Refinement
di: Wang, Ge, et al.
Pubblicazione: (2024)

ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning
di: Naseri, Mahdi, et al.
Pubblicazione: (2024)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
di: Sun, Jinze, et al.
Pubblicazione: (2024)

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
di: Liu, Ran, et al.
Pubblicazione: (2024)

Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
di: Zhang, Cong, et al.
Pubblicazione: (2024)

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
di: Hoang, Van Thuy, et al.
Pubblicazione: (2025)

TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
di: E, Jiawei, et al.
Pubblicazione: (2024)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
di: Ma, Tengfei, et al.
Pubblicazione: (2023)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
di: Qiao, Qiao, et al.
Pubblicazione: (2023)

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

Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
di: Lee, Jaejun, et al.
Pubblicazione: (2026)

DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
di: Zhao, Feng, et al.
Pubblicazione: (2026)

Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
di: Qing, Qing, et al.
Pubblicazione: (2026)

GQWformer: A Quantum-based Transformer for Graph Representation Learning
di: Yu, Lei, et al.
Pubblicazione: (2024)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
di: Qian, Feifei, et al.
Pubblicazione: (2024)

AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
di: Yang, Jing, et al.
Pubblicazione: (2024)

A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment
di: Cai, Weishan, et al.
Pubblicazione: (2024)

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
di: Lu, Qincheng, et al.
Pubblicazione: (2024)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
di: Xu, Zhuo, et al.
Pubblicazione: (2024)

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

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
di: Chen, Qian, et al.
Pubblicazione: (2024)

Neuronal Attention Circuit (NAC) for Representation Learning
di: Razzaq, Waleed, et al.
Pubblicazione: (2025)

Graph Propagation Transformer for Graph Representation Learning
di: Chen, Zhe, et al.
Pubblicazione: (2023)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
di: Li, Mengfan, et al.
Pubblicazione: (2024)

Domain Generalizable Knowledge Tracing via Concept Aggregation and Relation-Based Attention
di: Xie, Yuquan, et al.
Pubblicazione: (2024)

GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation
di: Saxena, Krati, et al.
Pubblicazione: (2026)

Cluster Attention for Graph Machine Learning
di: Platonov, Oleg, et al.
Pubblicazione: (2026)

A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
di: Cucumides, Tamara, et al.
Pubblicazione: (2023)

Attention-based Iterative Decomposition for Tensor Product Representation
di: Park, Taewon, et al.
Pubblicazione: (2024)