Image de couverture de livre

Research on the application of graph data structure and graph neural network in node classification/clustering tasks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Yihan, Zhao, Jianing
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A clean-label graph backdoor attack method in node classification task
par: Xing, Xiaogang, et autres
Publié: (2023)

Graph as a feature: improving node classification with non-neural graph-aware logistic regression
par: Delarue, Simon, et autres
Publié: (2024)

A graph neural network based on feature network for identifying influential nodes
par: Hu, Yanmei, et autres
Publié: (2025)

Prototype-enhanced prediction in graph neural networks for climate applications
par: Keshtmand, Nawid, et autres
Publié: (2025)

Effective backdoor attack on graph neural networks in link prediction tasks
par: Dai, Jiazhu, et autres
Publié: (2024)

A review of graph neural network applications in mechanics-related domains
par: Zhao, Yingxue, et autres
Publié: (2024)

Predicting fluid-structure interaction with graph neural networks
par: Gao, Rui, et autres
Publié: (2022)

Kolmogorov-Arnold graph neural networks for chemically informed prediction tasks on inorganic nanomaterials
par: Volzhin, Nikita, et autres
Publié: (2025)

The logic of rational graph neural networks
par: Khalife, Sammy
Publié: (2023)

Do graph neural network states contain graph properties?
par: Pelletreau-Duris, Tom, et autres
Publié: (2024)

A graph neural network based chemical mechanism reduction method for combustion applications
par: Padiyar, Manuru Nithin, et autres
Publié: (2026)

Coding schemes in neural networks learning classification tasks
par: van Meegen, Alexander, et autres
Publié: (2024)

Exploring structure diversity in atomic resolution microscopy with graph neural networks
par: Luo, Zheng, et autres
Publié: (2024)

Model-free algorithms for fast node clustering in SBM type graphs and application to social role inference in animals
par: Cloez, Bertrand, et autres
Publié: (2025)

Incorporating graph neural network into route choice model
par: Ma, Yuxun, et autres
Publié: (2025)

On the power of graph neural networks and the role of the activation function
par: Khalife, Sammy, et autres
Publié: (2023)

Spectrally unstable nodes drive reliability failures in graph learning
par: Wang, Yongyu
Publié: (2024)

Comparing concepts of quantum and classical neural network models for image classification task
par: Potempa, Rafal, et autres
Publié: (2021)

Temporal social network modeling of mobile connectivity data with graph neural networks
par: Jaskari, Joel, et autres
Publié: (2025)

Metalearning traffic assignment for network disruptions with graph convolutional neural networks
par: Agriesti, Serio, et autres
Publié: (2026)

Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
par: Zhang, Yatao, et autres
Publié: (2024)

Flexible SE(2) graph neural networks with applications to PDE surrogates
par: Bånkestad, Maria, et autres
Publié: (2024)

Leveraging graph neural networks and mobility data for COVID-19 forecasting
par: Duarte, Fernando H. O., et autres
Publié: (2025)

A survey of dynamic graph neural networks
par: Zheng, Yanping, et autres
Publié: (2024)

Fast instance-specific algorithm configuration with graph neural network
par: Aihara, Shingo, et autres
Publié: (2025)

Leveraging graph neural networks for supporting Automatic Triage of Patients
par: Defilippo, Annamaria, et autres
Publié: (2024)

ARM-Explainer -- Explaining and improving graph neural network predictions for the maximum clique problem using node features and association rule mining
par: Sharman, Bharat, et autres
Publié: (2025)

Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
par: Yang, Murong, et autres
Publié: (2025)

Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials
par: Bi, Shuyu, et autres
Publié: (2026)

Applying graph neural network to SupplyGraph for supply chain network
par: Han, Kihwan
Publié: (2024)

A unifying primary framework for quantum graph neural networks from quantum graph states
par: Daskin, Ammar
Publié: (2024)

Warm-starting active-set solvers using graph neural networks
par: Schmidtobreick, Ella J., et autres
Publié: (2025)

Fast online node labeling with graph subsampling
par: Huang, Yushen, et autres
Publié: (2025)

Spatiotemporal graph neural process for reconstruction, extrapolation, and classification of cardiac trajectories
par: Banus, Jaume, et autres
Publié: (2025)

Learning to accelerate distributed ADMM using graph neural networks
par: Doerks, Henri, et autres
Publié: (2025)

Robustness questions the interpretability of graph neural networks: what to do?
par: Lukyanov, Kirill, et autres
Publié: (2025)

Learnable quantum spectral filters for hybrid graph neural networks
par: Daskin, Ammar
Publié: (2025)

sHGCN: Simplified hyperbolic graph convolutional neural networks
par: Arévalo, Pol, et autres
Publié: (2025)

Algorithms for the preordering problem and their application to the task of jointly clustering and ordering the accounts of a social network
par: Irmai, Jannik, et autres
Publié: (2025)

CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks
par: Li, Munan, et autres
Publié: (2024)