Exploring the impact of adaptive rewiring in Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | van Nooten, Charlotte Cambier, Aronis, Christos, Shapovalova, Yuliya, Cavallaro, Lucia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid
by: van Nooten, Charlotte Cambier, et al.
Published: (2023)
by: van Nooten, Charlotte Cambier, et al.
Published: (2023)
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024)
by: de Jong, Matthijs, et al.
Published: (2024)
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025)
by: de Jong, Matthijs, et al.
Published: (2025)
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
by: Niresi, Keivan Faghih, et al.
Published: (2026)
by: Niresi, Keivan Faghih, et al.
Published: (2026)
Earth Observation Satellite Scheduling with Graph Neural Networks and Monte Carlo Tree Search
by: Jacquet, Antoine, et al.
Published: (2024)
by: Jacquet, Antoine, et al.
Published: (2024)
PowerFlowNet: Power Flow Approximation Using Message Passing Graph Neural Networks
by: Lin, Nan, et al.
Published: (2023)
by: Lin, Nan, et al.
Published: (2023)
Annealing Optimization for Progressive Learning with Stochastic Approximation
by: Mavridis, Christos, et al.
Published: (2022)
by: Mavridis, Christos, et al.
Published: (2022)
Provably Bounding Neural Network Preimages
by: Kotha, Suhas, et al.
Published: (2023)
by: Kotha, Suhas, et al.
Published: (2023)
Neural Horizon Model Predictive Control -- Increasing Computational Efficiency with Neural Networks
by: Alsmeier, Hendrik, et al.
Published: (2024)
by: Alsmeier, Hendrik, et al.
Published: (2024)
Risk-Sensitive Reinforcement Learning with Exponential Criteria
by: Noorani, Erfaun, et al.
Published: (2022)
by: Noorani, Erfaun, et al.
Published: (2022)
Convolutional Neural Networks for Accurate Measurement of Train Speed
by: Tian, Haitao, et al.
Published: (2025)
by: Tian, Haitao, et al.
Published: (2025)
Building Hybrid B-Spline And Neural Network Operators
by: Romagnoli, Raffaele, et al.
Published: (2024)
by: Romagnoli, Raffaele, et al.
Published: (2024)
Factor Graph Optimization for Leak Localization in Water Distribution Networks
by: Irofti, Paul, et al.
Published: (2025)
by: Irofti, Paul, et al.
Published: (2025)
Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)
by: Chen, Shaoru, et al.
Published: (2024)
From Black-Box to White-Box: Control-Theoretic Neural Network Interpretability
by: Moon, Jihoon
Published: (2025)
by: Moon, Jihoon
Published: (2025)
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
by: Neary, Cyrus, et al.
Published: (2024)
by: Neary, Cyrus, et al.
Published: (2024)
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles
by: Parameshwaran, Aditya, et al.
Published: (2025)
by: Parameshwaran, Aditya, et al.
Published: (2025)
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
by: de Oliveira, Arthur Castello Branco, et al.
Published: (2025)
by: de Oliveira, Arthur Castello Branco, et al.
Published: (2025)
Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
by: Sieber, Jerome, et al.
Published: (2024)
by: Sieber, Jerome, et al.
Published: (2024)
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
by: Li, Haoyu, et al.
Published: (2026)
by: Li, Haoyu, et al.
Published: (2026)
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
by: Cayci, Semih
Published: (2024)
by: Cayci, Semih
Published: (2024)
Outperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
by: Abdullah, Mohammed Ezzaldin Babiker, et al.
Published: (2026)
by: Abdullah, Mohammed Ezzaldin Babiker, et al.
Published: (2026)
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
by: Islam, MD Shafikul, et al.
Published: (2023)
by: Islam, MD Shafikul, et al.
Published: (2023)
Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
by: Kishida, Masako
Published: (2025)
by: Kishida, Masako
Published: (2025)
PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
by: Kabir, M. Humayun, et al.
Published: (2025)
by: Kabir, M. Humayun, et al.
Published: (2025)
Fusion of Quadratic Time-Frequency Analysis and Convolutional Neural Networks to Diagnose Bearing Faults Under Time-Varying Speeds
by: Al-Sa'd, Mohammad, et al.
Published: (2024)
by: Al-Sa'd, Mohammad, et al.
Published: (2024)
Go-Explore for Residential Energy Management
by: Lu, Junlin, et al.
Published: (2024)
by: Lu, Junlin, et al.
Published: (2024)
Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks
by: Chen, Yi-Ping, et al.
Published: (2025)
by: Chen, Yi-Ping, et al.
Published: (2025)
Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks
by: Alkadamani, Mohamad, et al.
Published: (2026)
by: Alkadamani, Mohamad, et al.
Published: (2026)
A domain adaptation neural network for digital twin-supported fault diagnosis
by: Chen, Zhenling, et al.
Published: (2025)
by: Chen, Zhenling, et al.
Published: (2025)
Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving
by: Weng, Qitao, et al.
Published: (2026)
by: Weng, Qitao, et al.
Published: (2026)
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
by: Ding, Jianglin, et al.
Published: (2025)
by: Ding, Jianglin, et al.
Published: (2025)
A Graph-Enhanced Deep-Reinforcement Learning Framework for the Aircraft Landing Problem
by: Maru, Vatsal
Published: (2025)
by: Maru, Vatsal
Published: (2025)
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
by: Mansur, Murat Furkan, et al.
Published: (2026)
by: Mansur, Murat Furkan, et al.
Published: (2026)
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence
by: Mei, Wenjie, et al.
Published: (2024)
by: Mei, Wenjie, et al.
Published: (2024)
Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation
by: Brash, Alistair, et al.
Published: (2025)
by: Brash, Alistair, et al.
Published: (2025)
Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
by: Bondar, Georgiy A., et al.
Published: (2024)
by: Bondar, Georgiy A., et al.
Published: (2024)
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
Similar Items
-
Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid
by: van Nooten, Charlotte Cambier, et al.
Published: (2023) -
Imitation Learning for Intra-Day Power Grid Operation through Topology Actions
by: de Jong, Matthijs, et al.
Published: (2024) -
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025) -
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024) -
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
by: Niresi, Keivan Faghih, et al.
Published: (2026)