Fusion of Graph Neural Networks via Optimal Transport
Fuente:
arXiv
Guardado en:
| Autores principales: | Ormaniec, Weronika, Vollenweider, Michael, Hoskovec, Elisa |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
por: Ormaniec, Weronika, et al.
Publicado: (2024)
por: Ormaniec, Weronika, et al.
Publicado: (2024)
Position: Curvature Matrices Should Be Democratized via Linear Operators
por: Dangel, Felix, et al.
Publicado: (2025)
por: Dangel, Felix, et al.
Publicado: (2025)
Standardizing Structural Causal Models
por: Ormaniec, Weronika, et al.
Publicado: (2024)
por: Ormaniec, Weronika, et al.
Publicado: (2024)
Transition Constrained Bayesian Optimization via Markov Decision Processes
por: Folch, Jose Pablo, et al.
Publicado: (2024)
por: Folch, Jose Pablo, et al.
Publicado: (2024)
Transformer Fusion with Optimal Transport
por: Imfeld, Moritz, et al.
Publicado: (2023)
por: Imfeld, Moritz, et al.
Publicado: (2023)
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
por: Ferbach, Damien, et al.
Publicado: (2023)
por: Ferbach, Damien, et al.
Publicado: (2023)
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
por: Liu, Yanbei, et al.
Publicado: (2025)
por: Liu, Yanbei, et al.
Publicado: (2025)
Towards Pre-trained Graph Condensation via Optimal Transport
por: Yan, Yeyu, et al.
Publicado: (2025)
por: Yan, Yeyu, et al.
Publicado: (2025)
Learning Partial Graph Matching via Optimal Partial Transport
por: Ratnayaka, Gathika, et al.
Publicado: (2024)
por: Ratnayaka, Gathika, et al.
Publicado: (2024)
Neural Network Graph Similarity Computation Based on Graph Fusion
por: Chang, Zenghui, et al.
Publicado: (2025)
por: Chang, Zenghui, et al.
Publicado: (2025)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
por: Daniels, Mara, et al.
Publicado: (2021)
por: Daniels, Mara, et al.
Publicado: (2021)
Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
por: Mukherjee, Kunal, et al.
Publicado: (2026)
por: Mukherjee, Kunal, et al.
Publicado: (2026)
Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook
por: Xue, Jiawei, et al.
Publicado: (2025)
por: Xue, Jiawei, et al.
Publicado: (2025)
Neural Optimal Transport with Lagrangian Costs
por: Pooladian, Aram-Alexandre, et al.
Publicado: (2024)
por: Pooladian, Aram-Alexandre, et al.
Publicado: (2024)
Layer Embedding Deep Fusion Graph Neural Network
por: Xu, Taihua, et al.
Publicado: (2026)
por: Xu, Taihua, et al.
Publicado: (2026)
Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends
por: Li, Hourun, et al.
Publicado: (2024)
por: Li, Hourun, et al.
Publicado: (2024)
Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
por: Anakok, Emre, et al.
Publicado: (2025)
por: Anakok, Emre, et al.
Publicado: (2025)
Riemannian Neural Optimal Transport
por: Micheli, Alessandro, et al.
Publicado: (2026)
por: Micheli, Alessandro, et al.
Publicado: (2026)
Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
por: Park, MoonJeong, et al.
Publicado: (2026)
por: Park, MoonJeong, et al.
Publicado: (2026)
Computing Approximate Graph Edit Distance via Optimal Transport
por: Cheng, Qihao, et al.
Publicado: (2024)
por: Cheng, Qihao, et al.
Publicado: (2024)
Entropic Riemannian Neural Optimal Transport
por: Micheli, Alessandro, et al.
Publicado: (2026)
por: Micheli, Alessandro, et al.
Publicado: (2026)
Estimating Barycenters of Distributions with Neural Optimal Transport
por: Kolesov, Alexander, et al.
Publicado: (2024)
por: Kolesov, Alexander, et al.
Publicado: (2024)
Neural Optimal Transport with General Cost Functionals
por: Asadulaev, Arip, et al.
Publicado: (2022)
por: Asadulaev, Arip, et al.
Publicado: (2022)
Energy-guided Entropic Neural Optimal Transport
por: Mokrov, Petr, et al.
Publicado: (2023)
por: Mokrov, Petr, et al.
Publicado: (2023)
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
por: Li, Xiang, et al.
Publicado: (2025)
por: Li, Xiang, et al.
Publicado: (2025)
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
por: Qi, QingGuo, et al.
Publicado: (2024)
por: Qi, QingGuo, et al.
Publicado: (2024)
On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks
por: Chehreghani, Mostafa Haghir
Publicado: (2026)
por: Chehreghani, Mostafa Haghir
Publicado: (2026)
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
por: Liu, Yonghao, et al.
Publicado: (2025)
por: Liu, Yonghao, et al.
Publicado: (2025)
Improving Neural Optimal Transport via Displacement Interpolation
por: Choi, Jaemoo, et al.
Publicado: (2024)
por: Choi, Jaemoo, et al.
Publicado: (2024)
Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
por: Chen, Hao, et al.
Publicado: (2026)
por: Chen, Hao, et al.
Publicado: (2026)
Displacement-Sparse Neural Optimal Transport
por: Chen, Peter, et al.
Publicado: (2025)
por: Chen, Peter, et al.
Publicado: (2025)
Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching
por: Song, Fanghui, et al.
Publicado: (2025)
por: Song, Fanghui, et al.
Publicado: (2025)
Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
por: Tsur, Dor, et al.
Publicado: (2025)
por: Tsur, Dor, et al.
Publicado: (2025)
Neural Optimal Transport Meets Multivariate Conformal Prediction
por: Kondratyev, Vladimir, et al.
Publicado: (2025)
por: Kondratyev, Vladimir, et al.
Publicado: (2025)
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
por: Jahin, Md Abrar, et al.
Publicado: (2025)
por: Jahin, Md Abrar, et al.
Publicado: (2025)
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
por: Chen, Qingfeng, et al.
Publicado: (2025)
por: Chen, Qingfeng, et al.
Publicado: (2025)
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
por: Pham, Thuan, et al.
Publicado: (2024)
por: Pham, Thuan, et al.
Publicado: (2024)
PLOT: Progressive Localization via Optimal Transport in Neural Causal Abstraction
por: Chang, Jonathn, et al.
Publicado: (2026)
por: Chang, Jonathn, et al.
Publicado: (2026)
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
por: Liu, Jiahui, et al.
Publicado: (2024)
por: Liu, Jiahui, et al.
Publicado: (2024)
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
por: He, Dongxiao, et al.
Publicado: (2026)
por: He, Dongxiao, et al.
Publicado: (2026)
Ejemplares similares
-
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
por: Ormaniec, Weronika, et al.
Publicado: (2024) -
Position: Curvature Matrices Should Be Democratized via Linear Operators
por: Dangel, Felix, et al.
Publicado: (2025) -
Standardizing Structural Causal Models
por: Ormaniec, Weronika, et al.
Publicado: (2024) -
Transition Constrained Bayesian Optimization via Markov Decision Processes
por: Folch, Jose Pablo, et al.
Publicado: (2024) -
Transformer Fusion with Optimal Transport
por: Imfeld, Moritz, et al.
Publicado: (2023)