Distributed-Order Fractional Graph Operating Network
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Kai, Li, Xuhao, Kang, Qiyu, Ji, Feng, Ding, Qinxu, Zhao, Yanan, Liang, Wenfei, Tay, Wee Peng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, et al.
Published: (2024)
Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
by: Zhao, Yanan, et al.
Published: (2025)
by: Zhao, Yanan, et al.
Published: (2025)
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
by: Kang, Qiyu, et al.
Published: (2025)
by: Kang, Qiyu, et al.
Published: (2025)
Neural Variable-Order Fractional Differential Equation Networks
by: Cui, Wenjun, et al.
Published: (2025)
by: Cui, Wenjun, et al.
Published: (2025)
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, et al.
Published: (2024)
FedSheafHN: Personalized Federated Learning on Graph-structured Data
by: Liang, Wenfei, et al.
Published: (2024)
by: Liang, Wenfei, et al.
Published: (2024)
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
by: Zhao, Yanan, et al.
Published: (2025)
by: Zhao, Yanan, et al.
Published: (2025)
Graph Distribution-valued Signals: A Wasserstein Space Perspective
by: Zhao, Yanan, et al.
Published: (2025)
by: Zhao, Yanan, et al.
Published: (2025)
Representation-Aligned Multi-Scale Personalization for Federated Learning
by: Liang, Wenfei, et al.
Published: (2026)
by: Liang, Wenfei, et al.
Published: (2026)
Personalized Subgraph Federated Learning with Sheaf Collaboration
by: Liang, Wenfei, et al.
Published: (2025)
by: Liang, Wenfei, et al.
Published: (2025)
Graph Neural Networks with a Distribution of Parametrized Graphs
by: Lee, See Hian, et al.
Published: (2023)
by: Lee, See Hian, et al.
Published: (2023)
Less is More: Towards Simple Graph Contrastive Learning
by: Zhao, Yanan, et al.
Published: (2025)
by: Zhao, Yanan, et al.
Published: (2025)
Spectral Convergence of Complexon Shift Operators
by: Zhang, Purui, et al.
Published: (2023)
by: Zhang, Purui, et al.
Published: (2023)
Contrastive Conformal Sets
by: Alkhatib, Yahya, et al.
Published: (2026)
by: Alkhatib, Yahya, et al.
Published: (2026)
Conformal Unlearning: A New Paradigm for Unlearning in Conformal Predictors
by: Alkhatib, Yahya, et al.
Published: (2025)
by: Alkhatib, Yahya, et al.
Published: (2025)
Generalized Graph Signal Reconstruction via the Uncertainty Principle
by: Zhao, Yanan, et al.
Published: (2024)
by: Zhao, Yanan, et al.
Published: (2024)
Uncertainty Principle for Vertex-Time Graph Signal Processing
by: Zhao, Yanan, et al.
Published: (2026)
by: Zhao, Yanan, et al.
Published: (2026)
Fractional Order Distributed Optimization
by: Lixandru, Andrei, et al.
Published: (2024)
by: Lixandru, Andrei, et al.
Published: (2024)
DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
by: Hu, Fo, et al.
Published: (2025)
by: Hu, Fo, et al.
Published: (2025)
Continual Learning of Numerous Tasks from Long-tail Distributions
by: Kang, Liwei, et al.
Published: (2024)
by: Kang, Liwei, et al.
Published: (2024)
Lyapunov Stable Graph Neural Flow
by: Chu, Haoyu, et al.
Published: (2026)
by: Chu, Haoyu, et al.
Published: (2026)
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
Network Tomography with Path-Centric Graph Neural Network
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
by: Ma, Jicheng, et al.
Published: (2026)
by: Ma, Jicheng, et al.
Published: (2026)
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
by: Fu, Guoji, et al.
Published: (2025)
by: Fu, Guoji, et al.
Published: (2025)
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments
by: Liang, Yile, et al.
Published: (2024)
by: Liang, Yile, et al.
Published: (2024)
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)
by: Du, Lin, et al.
Published: (2025)
Conformalized Link Prediction on Graph Neural Networks
by: Zhao, Tianyi, et al.
Published: (2024)
by: Zhao, Tianyi, et al.
Published: (2024)
Tri-Learn Graph Fusion Network for Attributed Graph Clustering
by: Li, Binxiong, et al.
Published: (2025)
by: Li, Binxiong, et al.
Published: (2025)
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
by: Nakarmi, Suprim, et al.
Published: (2026)
by: Nakarmi, Suprim, et al.
Published: (2026)
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion
by: Wang, Sijie, et al.
Published: (2024)
by: Wang, Sijie, et al.
Published: (2024)
Differentiable Cluster Graph Neural Network
by: Dong, Yanfei, et al.
Published: (2024)
by: Dong, Yanfei, et al.
Published: (2024)
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
by: Zhao, Chu, et al.
Published: (2025)
by: Zhao, Chu, et al.
Published: (2025)
Modeling Sparse Graph Sequences and Signals Using Generalized Graphons
by: Ji, Feng, et al.
Published: (2023)
by: Ji, Feng, et al.
Published: (2023)
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
by: Wang, Daixin, et al.
Published: (2024)
by: Wang, Daixin, et al.
Published: (2024)
Angular Graph Fractional Fourier Transform: Theory and Application
by: Zhao, Feiyue, et al.
Published: (2025)
by: Zhao, Feiyue, et al.
Published: (2025)
On the Empirical Complexity of Reasoning and Planning in LLMs
by: Kang, Liwei, et al.
Published: (2024)
by: Kang, Liwei, et al.
Published: (2024)
Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
by: Ji, Xinyu, et al.
Published: (2025)
by: Ji, Xinyu, et al.
Published: (2025)
Rethinking Divisive Hierarchical Clustering from a Distributional Perspective
by: Zhang, Kaifeng, et al.
Published: (2026)
by: Zhang, Kaifeng, et al.
Published: (2026)
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
by: Fu, Guoji, et al.
Published: (2023)
by: Fu, Guoji, et al.
Published: (2023)
Similar Items
-
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
by: Kang, Qiyu, et al.
Published: (2024) -
Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
by: Zhao, Yanan, et al.
Published: (2025) -
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
by: Kang, Qiyu, et al.
Published: (2025) -
Neural Variable-Order Fractional Differential Equation Networks
by: Cui, Wenjun, et al.
Published: (2025) -
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
by: Kang, Qiyu, et al.
Published: (2024)