Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Balemans, Dieter, Huybrechts, Thomas, Steckel, Jan, Mercelis, Siegfried |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications
by: Balemans, Niels, et al.
Published: (2025)
by: Balemans, Niels, et al.
Published: (2025)
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
by: Lesy, Bavo, et al.
Published: (2024)
by: Lesy, Bavo, et al.
Published: (2024)
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)
by: Herremans, Siemen, et al.
Published: (2024)
Data selection method for assessment of autonomous vehicles
by: Trinh, Linh, et al.
Published: (2024)
by: Trinh, Linh, et al.
Published: (2024)
Scalable Reinforcement Learning-based Neural Architecture Search
by: Cassimon, Amber, et al.
Published: (2024)
by: Cassimon, Amber, et al.
Published: (2024)
Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
by: Kum, Seungwoo
Published: (2026)
by: Kum, Seungwoo
Published: (2026)
Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
by: Sundaram, Ganesh, et al.
Published: (2025)
by: Sundaram, Ganesh, et al.
Published: (2025)
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning
by: Cassimon, Amber, et al.
Published: (2024)
by: Cassimon, Amber, et al.
Published: (2024)
A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations
by: Rahimiasl, Mohammadmahdi, et al.
Published: (2025)
by: Rahimiasl, Mohammadmahdi, et al.
Published: (2025)
Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
by: Bessone, Nicolas
Published: (2025)
by: Bessone, Nicolas
Published: (2025)
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
by: Zou, Mengbang, et al.
Published: (2024)
by: Zou, Mengbang, et al.
Published: (2024)
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
by: Peng, Tianhao, et al.
Published: (2023)
by: Peng, Tianhao, et al.
Published: (2023)
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)
by: Su, Junwei, et al.
Published: (2024)
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
by: Song, Hongjin, et al.
Published: (2025)
by: Song, Hongjin, et al.
Published: (2025)
Online Training and Pruning of Deep Reinforcement Learning Networks
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)
by: Guenter, Valentin Frank Ingmar, et al.
Published: (2025)
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
by: Grillo, Niccolò, et al.
Published: (2025)
by: Grillo, Niccolò, et al.
Published: (2025)
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
by: Vincent, Théo, et al.
Published: (2025)
by: Vincent, Théo, et al.
Published: (2025)
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression
by: Wu, Min, et al.
Published: (2024)
by: Wu, Min, et al.
Published: (2024)
Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)
by: Li, Jiahan, et al.
Published: (2022)
Application-Specific Component-Aware Structured Pruning of Deep Neural Networks in Control via Soft Coefficient Optimization
by: Sundaram, Ganesh, et al.
Published: (2025)
by: Sundaram, Ganesh, et al.
Published: (2025)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
The Impact of Quantization and Pruning on Deep Reinforcement Learning Models
by: Lu, Heng, et al.
Published: (2024)
by: Lu, Heng, et al.
Published: (2024)
Pruning-based Data Selection and Network Fusion for Efficient Deep Learning
by: Kousar, Humaira, et al.
Published: (2025)
by: Kousar, Humaira, et al.
Published: (2025)
Graph Neural Networks with Feature and Structure Aware Random Walk
by: Zhuo, Wei, et al.
Published: (2021)
by: Zhuo, Wei, et al.
Published: (2021)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)
by: Xie, Hui, et al.
Published: (2025)
Learning to Solve Resource-Constrained Project Scheduling Problems with Duration Uncertainty using Graph Neural Networks
by: Infantes, Guillaume, et al.
Published: (2025)
by: Infantes, Guillaume, et al.
Published: (2025)
Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
by: Kekić, Armin, et al.
Published: (2025)
by: Kekić, Armin, et al.
Published: (2025)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning
by: Wu, Junran, et al.
Published: (2024)
by: Wu, Junran, et al.
Published: (2024)
Logical Distillation of Graph Neural Networks
by: Pluska, Alexander, et al.
Published: (2024)
by: Pluska, Alexander, et al.
Published: (2024)
Factor Graph-based Interpretable Neural Networks
by: Li, Yicong, et al.
Published: (2025)
by: Li, Yicong, et al.
Published: (2025)
WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
by: Li, Xiaoyang, et al.
Published: (2025)
by: Li, Xiaoyang, et al.
Published: (2025)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)
by: Zhang, Jiaxing, et al.
Published: (2025)
Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
by: Li, Kaiyang, et al.
Published: (2026)
by: Li, Kaiyang, et al.
Published: (2026)
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
by: Younesian, Taraneh, et al.
Published: (2023)
by: Younesian, Taraneh, et al.
Published: (2023)
Learning to Execute Graph Algorithms Exactly with Graph Neural Networks
by: Qharabagh, Muhammad Fetrat, et al.
Published: (2026)
by: Qharabagh, Muhammad Fetrat, et al.
Published: (2026)
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025)
by: Mizera, Andrzej, et al.
Published: (2025)
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
by: Attali, Hugo, et al.
Published: (2025)
by: Attali, Hugo, et al.
Published: (2025)
Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
by: Wei, Chu-Yuan, et al.
Published: (2025)
by: Wei, Chu-Yuan, et al.
Published: (2025)
Similar Items
-
LiDAR-BIND-T: Improved and Temporally Consistent Sensor Modality Translation and Fusion for Robotic Applications
by: Balemans, Niels, et al.
Published: (2025) -
Evaluating Robustness of Reinforcement Learning Algorithms for Autonomous Shipping
by: Lesy, Bavo, et al.
Published: (2024) -
Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024) -
Data selection method for assessment of autonomous vehicles
by: Trinh, Linh, et al.
Published: (2024) -
Scalable Reinforcement Learning-based Neural Architecture Search
by: Cassimon, Amber, et al.
Published: (2024)