:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuxi, Liu, Heyao, Yao, Guanzi, Long, Nyutian, Kang, Yue
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.04973
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Federated Anomaly Detection for Multi-Tenant Cloud Platforms with Personalized Modeling
by: Wang, Yuxi, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Adaptive Resource Orchestration in Cloud-Native Clusters
by: Yao, Guanzi, et al.
Published: (2025)

Dynamic Prompt Fusion for Multi-Task and Cross-Domain Adaptation in LLMs
by: Hu, Xin, et al.
Published: (2025)

Contrastive Learning-Based Dependency Modeling for Anomaly Detection in Cloud Services
by: Xing, Yue, et al.
Published: (2025)

Graph Augmentation for Cross Graph Domain Generalization
by: Chen, Guanzi, et al.
Published: (2025)

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
by: Jacob, Roshni Anna, et al.
Published: (2026)

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks
by: Gao, Shuyi, et al.
Published: (2026)

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
by: Zheng, Weihuang, et al.
Published: (2024)

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
by: Dong, Yuxin, et al.
Published: (2024)

Topology-Aware Active Learning on Graphs
by: Hardiman-Mostow, Harris, et al.
Published: (2025)

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)

On the Topology Awareness and Generalization Performance of Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)

Cross-View Topology-Aware Graph Representation Learning
by: Korkmaz, Ahmet Sami, et al.
Published: (2025)

A Topology-aware Graph Coarsening Framework for Continual Graph Learning
by: Han, Xiaoxue, et al.
Published: (2024)

Pruning for Generalization: A Transfer-Oriented Spatiotemporal Graph Framework
by: Jing, Zihao, et al.
Published: (2026)

Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
by: Wang, Molly, et al.
Published: (2025)

Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
by: Zhang, Qingyuan, et al.
Published: (2025)

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
by: Zhang, Haozhen, et al.
Published: (2026)

Automatic Graph Topology-Aware Transformer
by: Wang, Chao, et al.
Published: (2024)

Learning Decentralized Routing Policies via Graph Attention-based Multi-Agent Reinforcement Learning in Lunar Delay-Tolerant Networks
by: Lozano-Cuadra, Federico, et al.
Published: (2025)

Topology-Aware PAC-Bayesian Generalization Analysis for Graph Neural Networks
by: Yi, Xinping
Published: (2026)

Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning
by: Mu, Zhancun, et al.
Published: (2026)

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
by: Wang, Zekai, et al.
Published: (2025)

Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
by: Xie, Fengze, et al.
Published: (2024)

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

Deep Reinforcement Learning Empowered Activity-Aware Dynamic Health Monitoring Systems
by: Ye, Ziqiaing, et al.
Published: (2024)

Traffic-Aware Optimal Taxi Placement Using Graph Neural Network-Based Reinforcement Learning
by: Khetarpaul, Sonia, et al.
Published: (2026)

Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning
by: Cao, Haifang, et al.
Published: (2026)

Deep Learning on Graphs for Mobile Network Topology Generation
by: Meli, Felix Nannesson, et al.
Published: (2025)

Generalized Low-Rank Matrix Contextual Bandits with Graph Information
by: Wang, Yao, et al.
Published: (2025)

Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
by: Lyu, Ning, et al.
Published: (2025)

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
by: Zheng, Zinan, et al.
Published: (2024)

Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
by: Hu, Zhifeng, et al.
Published: (2025)

Topology-Aware Conformal Prediction for Stream Networks
by: Zhang, Jifan, et al.
Published: (2025)

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
by: Zhang, Guibin, et al.
Published: (2024)

Enhancing Molecular Design through Graph-based Topological Reinforcement Learning
by: Zhang, Xiangyu
Published: (2024)

Network Topology Optimization via Deep Reinforcement Learning
by: Li, Zhuoran, et al.
Published: (2022)

Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs
by: Langari, Amirreza Shiralinasab, et al.
Published: (2024)

PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
by: Qin, Ye, et al.
Published: (2025)