:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zou, Mengbang, Guo, Weisi, Jin, Bailu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2402.16925
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
by: Zou, Mengbang, et al.
Published: (2024)

How to Find Opinion Leader on the Online Social Network?
by: Jin, Bailu, et al.
Published: (2023)

Learning Visual Abstract Reasoning through Dual-Stream Networks
by: Zhao, Kai, et al.
Published: (2024)

Curriculum-Guided Antifragile Reinforcement Learning for Secure UAV Deconfliction under Observation-Space Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)

Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025)

Resource-Aware Neural Network Pruning Using Graph-based Reinforcement Learning
by: Balemans, Dieter, et al.
Published: (2025)

Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
by: Yuan, Jinsheng, et al.
Published: (2024)

Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments
by: Wisniewski, Mariusz, et al.
Published: (2024)

KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence
by: Tang, Yun, et al.
Published: (2025)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
by: Peng, Tianhao, et al.
Published: (2023)

Continual Learning through Control Minimization
by: de Haan, Sander, et al.
Published: (2026)

Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace
by: Panda, Deepak Kumar, et al.
Published: (2025)

Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
by: Panda, Deepak Kumar, et al.
Published: (2025)

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
by: Grillo, Niccolò, et al.
Published: (2025)

Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
by: Qin, Tiexin, et al.
Published: (2023)

Reinforcement Learning with Reward Machines for Sleep Control in Mobile Networks
by: Levina, Kristina, et al.
Published: (2026)

Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
by: Liu, Zifan, et al.
Published: (2024)

Strong Transitivity Relations and Graph Neural Networks
by: Mohamadi, Yassin, et al.
Published: (2024)

Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies
by: Zou, Mengbang, et al.
Published: (2024)

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks
by: Rao, Xuan, et al.
Published: (2022)

Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
by: Zou, Qi, et al.
Published: (2024)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
by: Jin, Luozhijie, et al.
Published: (2025)

Synthetic Social Media Influence Experimentation via an Agentic Reinforcement Learning Large Language Model Bot
by: Jin, Bailu, et al.
Published: (2024)

Imitation Learning Inputting Image Feature to Each Layer of Neural Network
by: Yamane, Koki, et al.
Published: (2024)

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning
by: Giral, Francisco, 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)

Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations
by: Li, Qiang, et al.
Published: (2025)

Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025)

Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)

Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
by: González-Santana, Alejandro J., et al.
Published: (2026)

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)

Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
by: Sarathchandra, Sankani, et al.
Published: (2025)

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
by: Xie, Hui, et al.
Published: (2025)

One Node Per User: Node-Level Federated Learning for Graph Neural Networks
by: Gao, Zhidong, et al.
Published: (2024)

Test-driven Reinforcement Learning in Continuous Control
by: Yu, Zhao, et al.
Published: (2025)

Controllable Flow Matching for Online Reinforcement Learning
by: Wang, Bin, et al.
Published: (2025)

Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
by: Liang, Jiaming, et al.
Published: (2026)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
by: Zhao, Gongpei, et al.
Published: (2024)