Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Coşkun, Mustafa, Grama, Ananth, Koyutürk, Mehmet |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
por: Wu, Changlong, et al.
Publicado: (2024)
por: Wu, Changlong, et al.
Publicado: (2024)
Coefficient Decomposition for Spectral Graph Convolution
por: Huang, Feng, et al.
Publicado: (2024)
por: Huang, Feng, et al.
Publicado: (2024)
Inference-Time Code Selection via Symbolic Equivalence Partitioning
por: Cho, David, et al.
Publicado: (2026)
por: Cho, David, et al.
Publicado: (2026)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)
por: Wang, Ling, et al.
Publicado: (2024)
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization
por: Yang, Guangrui, et al.
Publicado: (2024)
por: Yang, Guangrui, et al.
Publicado: (2024)
Spectral Convolution on Orbifolds for Geometric Deep Learning
por: Mangliers, Tim, et al.
Publicado: (2026)
por: Mangliers, Tim, et al.
Publicado: (2026)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)
por: Wang, Ling, et al.
Publicado: (2024)
Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy
por: Sun, Yue, et al.
Publicado: (2024)
por: Sun, Yue, et al.
Publicado: (2024)
CKGConv: General Graph Convolution with Continuous Kernels
por: Ma, Liheng, et al.
Publicado: (2024)
por: Ma, Liheng, et al.
Publicado: (2024)
Spatio-Spectral Graph Neural Networks
por: Geisler, Simon, et al.
Publicado: (2024)
por: Geisler, Simon, et al.
Publicado: (2024)
A Novel Spatiotemporal Coupling Graph Convolutional Network
por: Bi, Fanghui
Publicado: (2024)
por: Bi, Fanghui
Publicado: (2024)
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
por: He, Mingguo, et al.
Publicado: (2022)
por: He, Mingguo, et al.
Publicado: (2022)
Learning to Approximate Adaptive Kernel Convolution on Graphs
por: Sim, Jaeyoon, et al.
Publicado: (2024)
por: Sim, Jaeyoon, et al.
Publicado: (2024)
Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
por: Mäkelburg, Johannes, et al.
Publicado: (2024)
por: Mäkelburg, Johannes, et al.
Publicado: (2024)
Spectral Greedy Coresets for Graph Neural Networks
por: Ding, Mucong, et al.
Publicado: (2024)
por: Ding, Mucong, et al.
Publicado: (2024)
Piecewise Constant Spectral Graph Neural Network
por: Martirosyan, Vahan, et al.
Publicado: (2025)
por: Martirosyan, Vahan, et al.
Publicado: (2025)
Shape-aware Graph Spectral Learning
por: Xu, Junjie, et al.
Publicado: (2023)
por: Xu, Junjie, et al.
Publicado: (2023)
A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment
por: Cai, Weishan, et al.
Publicado: (2024)
por: Cai, Weishan, et al.
Publicado: (2024)
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
por: Ladner, Tobias, et al.
Publicado: (2024)
por: Ladner, Tobias, et al.
Publicado: (2024)
Fast Graph Generation via Spectral Diffusion
por: Luo, Tianze, et al.
Publicado: (2022)
por: Luo, Tianze, et al.
Publicado: (2022)
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
por: Davila, Randy, et al.
Publicado: (2025)
por: Davila, Randy, et al.
Publicado: (2025)
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
por: Izadi, Mohammad, et al.
Publicado: (2024)
por: Izadi, Mohammad, et al.
Publicado: (2024)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
por: Liu, Aoyu, et al.
Publicado: (2022)
por: Liu, Aoyu, et al.
Publicado: (2022)
Tackling Size Generalization of Graph Neural Networks on Biological Data from a Spectral Perspective
por: Li, Gaotang, et al.
Publicado: (2023)
por: Li, Gaotang, et al.
Publicado: (2023)
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
por: Wang, Zheng, et al.
Publicado: (2023)
por: Wang, Zheng, et al.
Publicado: (2023)
On the Equivalence of Graph Convolution and Mixup
por: Han, Xiaotian, et al.
Publicado: (2023)
por: Han, Xiaotian, et al.
Publicado: (2023)
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
por: Guo, Jingwei, et al.
Publicado: (2024)
por: Guo, Jingwei, et al.
Publicado: (2024)
DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
por: Shi, Haoyuan, et al.
Publicado: (2024)
por: Shi, Haoyuan, et al.
Publicado: (2024)
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
por: Abdolali, Maryam, et al.
Publicado: (2025)
por: Abdolali, Maryam, et al.
Publicado: (2025)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
por: Guo, Suhan, et al.
Publicado: (2025)
por: Guo, Suhan, et al.
Publicado: (2025)
S2FGL: Spatial Spectral Federated Graph Learning
por: Tan, Zihan, et al.
Publicado: (2025)
por: Tan, Zihan, et al.
Publicado: (2025)
Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networks
por: Breslow, Nathan
Publicado: (2025)
por: Breslow, Nathan
Publicado: (2025)
Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
por: Kim, Soo Hyun, et al.
Publicado: (2025)
por: Kim, Soo Hyun, et al.
Publicado: (2025)
HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming
por: Wu, Yang, et al.
Publicado: (2025)
por: Wu, Yang, et al.
Publicado: (2025)
RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction
por: Chowdhury, Koyena, et al.
Publicado: (2025)
por: Chowdhury, Koyena, et al.
Publicado: (2025)
Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution
por: Wu, Kaiqi, et al.
Publicado: (2025)
por: Wu, Kaiqi, et al.
Publicado: (2025)
Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
por: Bessone, Nicolas
Publicado: (2025)
por: Bessone, Nicolas
Publicado: (2025)
Open World Learning Graph Convolution for Latency Estimation in Routing Networks
por: Jin, Yifei, et al.
Publicado: (2022)
por: Jin, Yifei, et al.
Publicado: (2022)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
por: Li, Chen, et al.
Publicado: (2023)
por: Li, Chen, et al.
Publicado: (2023)
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks
por: Kang, Sungwoo
Publicado: (2026)
por: Kang, Sungwoo
Publicado: (2026)
Ejemplares similares
-
No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models
por: Wu, Changlong, et al.
Publicado: (2024) -
Coefficient Decomposition for Spectral Graph Convolution
por: Huang, Feng, et al.
Publicado: (2024) -
Inference-Time Code Selection via Symbolic Equivalence Partitioning
por: Cho, David, et al.
Publicado: (2026) -
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024) -
Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization
por: Yang, Guangrui, et al.
Publicado: (2024)