Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Ahmad, Obaid Ullah, Said, Anwar, Shabbir, Mudassir, Koutsoukos, Xenofon, Abbas, Waseem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
by: Ahmad, Obaid Ullah, et al.
Published: (2024)
by: Ahmad, Obaid Ullah, et al.
Published: (2024)
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
by: Said, Anwar, et al.
Published: (2024)
by: Said, Anwar, et al.
Published: (2024)
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
by: Said, Anwar, et al.
Published: (2025)
by: Said, Anwar, et al.
Published: (2025)
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
by: Zheng, Xue Xian, et al.
Published: (2025)
by: Zheng, Xue Xian, et al.
Published: (2025)
Personalized Collaborative Learning with Affinity-Based Variance Reduction
by: Zhang, Chenyu, et al.
Published: (2025)
by: Zhang, Chenyu, et al.
Published: (2025)
PropEnc: A Property Encoder for Graph Neural Networks
by: Said, Anwar, et al.
Published: (2024)
by: Said, Anwar, et al.
Published: (2024)
Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
by: Koifman, Yigal, et al.
Published: (2026)
by: Koifman, Yigal, et al.
Published: (2026)
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
by: Deng, Chuhao, et al.
Published: (2024)
by: Deng, Chuhao, et al.
Published: (2024)
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)
by: Sinha, Vidur, et al.
Published: (2025)
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
by: Lin, Chi-Hui, et al.
Published: (2024)
by: Lin, Chi-Hui, et al.
Published: (2024)
Graph Exploration for Effective Multi-agent Q-Learning
by: Zhaikhan, Ainur, et al.
Published: (2023)
by: Zhaikhan, Ainur, et al.
Published: (2023)
Learning to Control Unknown Strongly Monotone Games
by: Chandak, Siddharth, et al.
Published: (2024)
by: Chandak, Siddharth, et al.
Published: (2024)
Push- and Pull-based Effective Communication in Cyber-Physical Systems
by: Talli, Pietro, et al.
Published: (2024)
by: Talli, Pietro, et al.
Published: (2024)
Learning Swarm Interaction Dynamics from Density Evolution
by: Mavridis, Christos, et al.
Published: (2021)
by: Mavridis, Christos, et al.
Published: (2021)
A Survey of Graph Unlearning
by: Said, Anwar, et al.
Published: (2023)
by: Said, Anwar, et al.
Published: (2023)
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning
by: Baheri, Ali, et al.
Published: (2024)
by: Baheri, Ali, et al.
Published: (2024)
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
by: Hu, Yi, et al.
Published: (2023)
by: Hu, Yi, et al.
Published: (2023)
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
by: Monroc, Claire Bizon, et al.
Published: (2025)
by: Monroc, Claire Bizon, et al.
Published: (2025)
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)
by: Hoppe, Heiko, et al.
Published: (2023)
Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)
by: Bastianello, Nicola, et al.
Published: (2023)
Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control under Switching Topologies
by: Yang, Zewen, et al.
Published: (2024)
by: Yang, Zewen, et al.
Published: (2024)
Peer-to-Peer Energy Trading of Solar and Energy Storage: A Networked Multiagent Reinforcement Learning Approach
by: Feng, Chen, et al.
Published: (2024)
by: Feng, Chen, et al.
Published: (2024)
Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)
by: Deplano, Diego, et al.
Published: (2025)
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
by: Zhang, Qixin, et al.
Published: (2025)
by: Zhang, Qixin, et al.
Published: (2025)
Principled Learning-to-Communicate with Quasi-Classical Information Structures
by: Liu, Xiangyu, et al.
Published: (2026)
by: Liu, Xiangyu, et al.
Published: (2026)
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)
by: Guo, Xudong, et al.
Published: (2024)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
by: May, Daniel, et al.
Published: (2024)
by: May, Daniel, 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)
Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
by: Remy, Isaac, et al.
Published: (2026)
by: Remy, Isaac, et al.
Published: (2026)
Collision Avoidance Verification of Multiagent Systems with Learned Policies
by: Dong, Zihao, et al.
Published: (2024)
by: Dong, Zihao, et al.
Published: (2024)
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
by: Wang, Zhiying, et al.
Published: (2024)
by: Wang, Zhiying, et al.
Published: (2024)
Robust Anomaly Detection with Graph Neural Networks using Controllability
by: Wei, Yifan, et al.
Published: (2025)
by: Wei, Yifan, et al.
Published: (2025)
Learning to Coordinate: Distributed Meta-Trajectory Optimization Via Differentiable ADMM-DDP
by: Wang, Bingheng, et al.
Published: (2025)
by: Wang, Bingheng, et al.
Published: (2025)
Cooperative Cruising: Reinforcement Learning-Based Time-Headway Control for Increased Traffic Efficiency
by: Veksler, Yaron, et al.
Published: (2024)
by: Veksler, Yaron, et al.
Published: (2024)
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
by: Xu, Jianye, et al.
Published: (2024)
by: Xu, Jianye, et al.
Published: (2024)
Population-aware Online Mirror Descent for Mean-Field Games with Common Noise by Deep Reinforcement Learning
by: Wu, Zida, et al.
Published: (2025)
by: Wu, Zida, et al.
Published: (2025)
Learning responsibility allocations for multi-agent interactions: A differentiable optimization approach with control barrier functions
by: Remy, Isaac, et al.
Published: (2024)
by: Remy, Isaac, et al.
Published: (2024)
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control
by: Duan, Wenchang, et al.
Published: (2024)
by: Duan, Wenchang, et al.
Published: (2024)
Virtual Force-Based Routing of Modular Agents on a Graph
by: Casselman, Adam, et al.
Published: (2025)
by: Casselman, Adam, et al.
Published: (2025)
Similar Items
-
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
by: Ahmad, Obaid Ullah, et al.
Published: (2024) -
Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory
by: Said, Anwar, et al.
Published: (2024) -
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning
by: Said, Anwar, et al.
Published: (2025) -
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
by: Zheng, Xue Xian, et al.
Published: (2025) -
Personalized Collaborative Learning with Affinity-Based Variance Reduction
by: Zhang, Chenyu, et al.
Published: (2025)