Imagen de Portada

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sattar, Asma, Deligiorgis, Georgios, Trincavelli, Marco, Bacciu, Davide
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

Graph Diffusion that can Insert and Delete
por: Ninniri, Matteo, et al.
Publicado: (2025)

Random-Set Graph Neural Networks
por: Woodley, Tommy, et al.
Publicado: (2026)

Self-generated Replay Memories for Continual Neural Machine Translation
por: Resta, Michele, et al.
Publicado: (2024)

ContinualFlow: Learning and Unlearning with Neural Flow Matching
por: Simone, Lorenzo, et al.
Publicado: (2025)

Conformalized Link Prediction on Graph Neural Networks
por: Zhao, Tianyi, et al.
Publicado: (2024)

Graph Hierarchical Recurrence for Long-Range Generalization
por: Carotti, Stefano, et al.
Publicado: (2026)

Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform
por: Telila, Yohannis, et al.
Publicado: (2025)

Non-Dissipative Graph Propagation for Non-Local Community Detection
por: Leeney, William, et al.
Publicado: (2025)

FAST: Similarity-based Knowledge Transfer for Efficient Policy Learning
por: Capurso, Alessandro, et al.
Publicado: (2025)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
por: Fan, Shaohua, et al.
Publicado: (2021)

Credal Graph Neural Networks
por: Tolloso, Matteo, et al.
Publicado: (2025)

Learning Causal Abstractions of Linear Structural Causal Models
por: Massidda, Riccardo, et al.
Publicado: (2024)

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
por: Li, Xiaodi, et al.
Publicado: (2024)

Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
por: Bini, Lorenzo, et al.
Publicado: (2024)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
por: Wang, Yilong, et al.
Publicado: (2025)

LiGNN: Graph Neural Networks at LinkedIn
por: Borisyuk, Fedor, et al.
Publicado: (2024)

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling
por: Ceni, Andrea, et al.
Publicado: (2025)

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
por: Wu, Mei, et al.
Publicado: (2025)

Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
por: Mahdi, Mohamed, et al.
Publicado: (2026)

Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
por: Basso, Davide, et al.
Publicado: (2024)

Bridging Theory and Practice in Link Representation with Graph Neural Networks
por: Lachi, Veronica, et al.
Publicado: (2025)

Link Prediction with Relational Hypergraphs
por: Huang, Xingyue, et al.
Publicado: (2024)

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction
por: Zhang, Juzheng, et al.
Publicado: (2024)

Calibration of Continual Learning Models
por: Li, Lanpei, et al.
Publicado: (2024)

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning
por: Piccoli, Elia, et al.
Publicado: (2025)

CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs
por: Buffelli, Davide, et al.
Publicado: (2024)

Systematic Relational Reasoning With Epistemic Graph Neural Networks
por: Khalid, Irtaza, et al.
Publicado: (2024)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
por: Zhang, Zeyang, et al.
Publicado: (2023)

Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
por: Zou, Qi, et al.
Publicado: (2024)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
por: Peng, Tianhao, et al.
Publicado: (2023)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
por: Davila, Randy, et al.
Publicado: (2025)

Causal Graph Neural Networks for Wildfire Danger Prediction
por: Zhao, Shan, et al.
Publicado: (2024)

Residual Reweighted Conformal Prediction for Graph Neural Networks
por: Zhang, Zheng, et al.
Publicado: (2025)

Rethinking Link Prediction for Directed Graphs
por: He, Mingguo, et al.
Publicado: (2025)

An Explainable, Attention-Enhanced, Bidirectional Long Short-Term Memory Neural Network for Joint 48-Hour Forecasting of Temperature, Irradiance, and Relative Humidity
por: Vamvouras, Georgios, et al.
Publicado: (2025)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
por: Lischka, Attila, et al.
Publicado: (2025)

GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
por: Fiori, Michele, et al.
Publicado: (2025)

Probing Graph Neural Network Activation Patterns Through Graph Topology
por: Tori, Floriano, et al.
Publicado: (2026)

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
por: Boll, Heloisa Oss, et al.
Publicado: (2024)

A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
por: Palit, Jewel Rana, et al.
Publicado: (2024)