Machine learning of network inference enhancement from noisy measurements
Fuente:
arXiv
Guardado en:
| Autores principales: | Wu, Kai, Li, Yuanyuan, Liu, Jing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning of networked spreading models from noisy and incomplete data
por: Wilinski, Mateusz, et al.
Publicado: (2023)
por: Wilinski, Mateusz, et al.
Publicado: (2023)
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
por: Yang, Murong, et al.
Publicado: (2025)
por: Yang, Murong, et al.
Publicado: (2025)
Community and hyperedge inference in multiple hypergraphs
por: Ni, Li, et al.
Publicado: (2025)
por: Ni, Li, et al.
Publicado: (2025)
Model inference for ranking from pairwise comparisons
por: Catalina, Daniel Sánchez, et al.
Publicado: (2025)
por: Catalina, Daniel Sánchez, et al.
Publicado: (2025)
A graph neural network based on feature network for identifying influential nodes
por: Hu, Yanmei, et al.
Publicado: (2025)
por: Hu, Yanmei, et al.
Publicado: (2025)
Estimation of partial rankings from sparse, noisy comparisons
por: Morel-Balbi, Sebastian, et al.
Publicado: (2025)
por: Morel-Balbi, Sebastian, et al.
Publicado: (2025)
Predicting soccer matches with complex networks and machine learning
por: Baratela, Eduardo Alves, et al.
Publicado: (2024)
por: Baratela, Eduardo Alves, et al.
Publicado: (2024)
Flexible inference in heterogeneous and attributed multilayer networks
por: Contisciani, Martina, et al.
Publicado: (2024)
por: Contisciani, Martina, et al.
Publicado: (2024)
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques
por: Marqués-Sánchez, Pilar, et al.
Publicado: (2024)
por: Marqués-Sánchez, Pilar, et al.
Publicado: (2024)
Graph self-supervised learning based on frequency corruption
por: Li, Haojie, et al.
Publicado: (2026)
por: Li, Haojie, et al.
Publicado: (2026)
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
por: Vandervorst, Félix, et al.
Publicado: (2025)
por: Vandervorst, Félix, et al.
Publicado: (2025)
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
por: Wu, Tao, et al.
Publicado: (2024)
por: Wu, Tao, et al.
Publicado: (2024)
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
por: Zheng, Yilun, et al.
Publicado: (2024)
por: Zheng, Yilun, et al.
Publicado: (2024)
Attention is all you need for boosting graph convolutional neural network
por: Wu, Yinwei
Publicado: (2024)
por: Wu, Yinwei
Publicado: (2024)
Leveraging advances in machine learning for the robust classification and interpretation of networks
por: Appaw, Raima Carol, et al.
Publicado: (2024)
por: Appaw, Raima Carol, et al.
Publicado: (2024)
Temporal social network modeling of mobile connectivity data with graph neural networks
por: Jaskari, Joel, et al.
Publicado: (2025)
por: Jaskari, Joel, et al.
Publicado: (2025)
A multi-theoretical kernel-based approach to social network-based recommendation
por: Li, Xin, et al.
Publicado: (2024)
por: Li, Xin, et al.
Publicado: (2024)
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
por: Mao, Xuqi, et al.
Publicado: (2025)
por: Mao, Xuqi, et al.
Publicado: (2025)
Discriminative community detection for multiplex networks
por: Ortiz-Bouza, Meiby, et al.
Publicado: (2024)
por: Ortiz-Bouza, Meiby, et al.
Publicado: (2024)
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
por: Song, Yifan, et al.
Publicado: (2025)
por: Song, Yifan, et al.
Publicado: (2025)
RankMerging: A supervised learning-to-rank framework to predict links in large social network
por: Tabourier, Lionel, et al.
Publicado: (2014)
por: Tabourier, Lionel, et al.
Publicado: (2014)
Scalable inference of spatial regions and temporal signatures from time series
por: Weng, Jiayu, et al.
Publicado: (2026)
por: Weng, Jiayu, et al.
Publicado: (2026)
Opinion de-polarization in social networks with GNNs
por: Mylonas, Konstantinos, et al.
Publicado: (2024)
por: Mylonas, Konstantinos, et al.
Publicado: (2024)
A survey of dynamic graph neural networks
por: Zheng, Yanping, et al.
Publicado: (2024)
por: Zheng, Yanping, et al.
Publicado: (2024)
Sifting out communities in large sparse networks
por: Climer, Sharlee, et al.
Publicado: (2024)
por: Climer, Sharlee, et al.
Publicado: (2024)
Estimating mixed memberships in multi-layer networks
por: Qing, Huan
Publicado: (2024)
por: Qing, Huan
Publicado: (2024)
Boundary-enhanced time series data imputation with long-term dependency diffusion models
por: Xiao, Chunjing, et al.
Publicado: (2025)
por: Xiao, Chunjing, et al.
Publicado: (2025)
Community detection by spectral methods in multi-layer networks
por: Qing, Huan
Publicado: (2024)
por: Qing, Huan
Publicado: (2024)
Deep learning for dynamic graphs: models and benchmarks
por: Gravina, Alessio, et al.
Publicado: (2023)
por: Gravina, Alessio, et al.
Publicado: (2023)
Compute the edge p-Laplacian centrality for air traffic network
por: Tran, Loc Hoang, et al.
Publicado: (2025)
por: Tran, Loc Hoang, et al.
Publicado: (2025)
Embedding networks with the random walk first return time distribution
por: Thapar, Vedanta, et al.
Publicado: (2025)
por: Thapar, Vedanta, et al.
Publicado: (2025)
A Machine Learning Ensemble Model for the Detection of Cyberbullying
por: Alqahtani, Abulkarim Faraj, et al.
Publicado: (2024)
por: Alqahtani, Abulkarim Faraj, et al.
Publicado: (2024)
Predicting Channel Closures in the Lightning Network with Machine Learning
por: Antonelli, Simone, et al.
Publicado: (2026)
por: Antonelli, Simone, et al.
Publicado: (2026)
Machine Learning on Dynamic Graphs: A Survey on Applications
por: Fard, Sanaz Hasanzadeh
Publicado: (2024)
por: Fard, Sanaz Hasanzadeh
Publicado: (2024)
Leveraging graph neural networks and mobility data for COVID-19 forecasting
por: Duarte, Fernando H. O., et al.
Publicado: (2025)
por: Duarte, Fernando H. O., et al.
Publicado: (2025)
Representation learning in multiplex graphs: Where and how to fuse information?
por: Bielak, Piotr, et al.
Publicado: (2024)
por: Bielak, Piotr, et al.
Publicado: (2024)
Explaining the Power of Topological Data Analysis in Graph Machine Learning
por: Taiwo, Funmilola Mary, et al.
Publicado: (2024)
por: Taiwo, Funmilola Mary, et al.
Publicado: (2024)
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization
por: Ortiz-Bouza, Meiby, et al.
Publicado: (2022)
por: Ortiz-Bouza, Meiby, et al.
Publicado: (2022)
Graph machine learning for flight delay prediction due to holding manouver
por: Franco, Jorge L., et al.
Publicado: (2025)
por: Franco, Jorge L., et al.
Publicado: (2025)
QuickCent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks
por: Plana, Francisco, et al.
Publicado: (2023)
por: Plana, Francisco, et al.
Publicado: (2023)
Ejemplares similares
-
Learning of networked spreading models from noisy and incomplete data
por: Wilinski, Mateusz, et al.
Publicado: (2023) -
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
por: Yang, Murong, et al.
Publicado: (2025) -
Community and hyperedge inference in multiple hypergraphs
por: Ni, Li, et al.
Publicado: (2025) -
Model inference for ranking from pairwise comparisons
por: Catalina, Daniel Sánchez, et al.
Publicado: (2025) -
A graph neural network based on feature network for identifying influential nodes
por: Hu, Yanmei, et al.
Publicado: (2025)