Cover Image

Fast instance-specific algorithm configuration with graph neural network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Aihara, Shingo, Parizy, Matthieu
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Barycentric alignment for instance-level comparison of neural representations
by: Saha, Shreya, et al.
Published: (2026)

The logic of rational graph neural networks
by: Khalife, Sammy
Published: (2023)

Graph neural networks with configuration cross-attention for tensor compilers
by: Khizbullin, Dmitrii, et al.
Published: (2024)

Metalearning traffic assignment for network disruptions with graph convolutional neural networks
by: Agriesti, Serio, et al.
Published: (2026)

Incorporating graph neural network into route choice model
by: Ma, Yuxun, et al.
Published: (2025)

On the power of graph neural networks and the role of the activation function
by: Khalife, Sammy, et al.
Published: (2023)

Do graph neural network states contain graph properties?
by: Pelletreau-Duris, Tom, et al.
Published: (2024)

Prototype-enhanced prediction in graph neural networks for climate applications
by: Keshtmand, Nawid, et al.
Published: (2025)

Leveraging graph neural networks for supporting Automatic Triage of Patients
by: Defilippo, Annamaria, et al.
Published: (2024)

Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
by: Jang, Jaeyeon, et al.
Published: (2024)

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

A survey of dynamic graph neural networks
by: Zheng, Yanping, et al.
Published: (2024)

Research on the application of graph data structure and graph neural network in node classification/clustering tasks
by: Wang, Yihan, et al.
Published: (2025)

One-step learning algorithm selection for classification via convolutional neural networks
by: Maldonado, Sebastian, et al.
Published: (2023)

Warm-starting active-set solvers using graph neural networks
by: Schmidtobreick, Ella J., et al.
Published: (2025)

Predicting fluid-structure interaction with graph neural networks
by: Gao, Rui, et al.
Published: (2022)

A simple algorithm for output range analysis for deep neural networks
by: Rojas, Helder, et al.
Published: (2024)

Towards a theory of how the structure of language is acquired by deep neural networks
by: Cagnetta, Francesco, et al.
Published: (2024)

Fast and reliable uncertainty quantification with neural network ensembles for industrial image classification
by: Thuy, Arthur, et al.
Published: (2024)

Differential equation and probability inspired graph neural networks for latent variable learning
by: Shi, Zhuangwei
Published: (2022)

Orthogonal greedy algorithm for linear operator learning with shallow neural network
by: Lin, Ye, et al.
Published: (2025)

Learning to accelerate distributed ADMM using graph neural networks
by: Doerks, Henri, et al.
Published: (2025)

Robustness questions the interpretability of graph neural networks: what to do?
by: Lukyanov, Kirill, et al.
Published: (2025)

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

sHGCN: Simplified hyperbolic graph convolutional neural networks
by: Arévalo, Pol, et al.
Published: (2025)

The duality structure gradient descent algorithm: analysis and applications to neural networks
by: Flynn, Thomas
Published: (2017)

A graph neural network based on feature network for identifying influential nodes
by: Hu, Yanmei, et al.
Published: (2025)

Temporal social network modeling of mobile connectivity data with graph neural networks
by: Jaskari, Joel, et al.
Published: (2025)

Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning
by: Jain, Isha, et al.
Published: (2024)

A novel hybrid time-varying graph neural network for traffic flow forecasting
by: Dai, Ben-Ao, et al.
Published: (2024)

Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
by: Tesán, Lucas, et al.
Published: (2024)

Universal and efficient graph neural networks with dynamic attention for machine learning interatomic potentials
by: Bi, Shuyu, et al.
Published: (2026)

A graph neural network based chemical mechanism reduction method for combustion applications
by: Padiyar, Manuru Nithin, et al.
Published: (2026)

MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
by: Abate, Carlo, et al.
Published: (2024)

Decomposing heterogeneous dynamical systems with graph neural networks
by: Allier, Cédric, et al.
Published: (2024)

Context-aware knowledge graph framework for traffic speed forecasting using graph neural network
by: Zhang, Yatao, et al.
Published: (2024)

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

An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
by: Hernandez, Jose Ignacio, et al.
Published: (2024)

Provably tuning the ElasticNet across instances
by: Balcan, Maria-Florina, et al.
Published: (2022)

Residual connections provably mitigate oversmoothing in graph neural networks
by: Chen, Ziang, et al.
Published: (2025)