Saved in:
| Main Authors: | Li, Yan, Yang, Zengli, Wang, Youhuai, Wang, Jing, Han, Xiaoyu, Wang, Jingyu, Shi, Dongyuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19289 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning
by: Li, Yan, et al.
Published: (2025)
by: Li, Yan, et al.
Published: (2025)
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
by: Pei, Jianhua, et al.
Published: (2023)
by: Pei, Jianhua, et al.
Published: (2023)
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions
by: Pei, Jianhua, et al.
Published: (2025)
by: Pei, Jianhua, et al.
Published: (2025)
Online Adversarial Knowledge Distillation for Graph Neural Networks
by: Wang, Can, et al.
Published: (2021)
by: Wang, Can, et al.
Published: (2021)
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
by: Li, Xiaoyu, et al.
Published: (2024)
by: Li, Xiaoyu, et al.
Published: (2024)
Uncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images
by: Luo, Zengli, et al.
Published: (2025)
by: Luo, Zengli, et al.
Published: (2025)
Dynamic Parallel Tree Search for Efficient LLM Reasoning
by: Ding, Yifu, et al.
Published: (2025)
by: Ding, Yifu, et al.
Published: (2025)
Fast and Efficient Parallel Breadth-First Search with Power-law Graph Transformation
by: Jiang, Zite, et al.
Published: (2020)
by: Jiang, Zite, et al.
Published: (2020)
Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks
by: Lixia Wang
Published: (2026)
by: Lixia Wang
Published: (2026)
FairRelay: Fair and Cost-Efficient Peer-to-Peer Content Delivery through Payment Channel Networks
by: Liu, Jingyu, et al.
Published: (2024)
by: Liu, Jingyu, et al.
Published: (2024)
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method
by: Hu, Yulan, et al.
Published: (2023)
by: Hu, Yulan, et al.
Published: (2023)
Efficient Probabilistic Optimal Power Flow Assessment Using an Adaptive Stochastic Spectral Embedding Surrogate Model
by: Wang, Xiaoting, et al.
Published: (2024)
by: Wang, Xiaoting, et al.
Published: (2024)
Extreme Scenario Characterization for High Renewable Energy Penetrated Power Systems over Long Time Scales
by: Kang, Kai, et al.
Published: (2025)
by: Kang, Kai, et al.
Published: (2025)
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Chapter Рецепция русской литературы Серебряного века в Китае
by: Li, Zhiqiang, et al.
Published: (2024)
by: Li, Zhiqiang, et al.
Published: (2024)
Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation
by: Wu, Yiming, et al.
Published: (2026)
by: Wu, Yiming, et al.
Published: (2026)
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
Physics-Aware LLM-Based Probabilistic Wind Power Scenario Generation under Extreme Icing Conditions
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
Power Distribution System Blackstart Restoration Using Renewable Energy
by: Shi, Wenlong, et al.
Published: (2025)
by: Shi, Wenlong, et al.
Published: (2025)
Graph in Graph Neural Network
by: Wang, Jiongshu, et al.
Published: (2024)
by: Wang, Jiongshu, et al.
Published: (2024)
The Impact of Geocoding Uncertainty on Crime Hotspot Prediction
by: Zengli Wang, et al.
Published: (2026)
by: Zengli Wang, et al.
Published: (2026)
On the Computational Capability of Graph Neural Networks: A Circuit Complexity Bound Perspective
by: Li, Xiaoyu, et al.
Published: (2025)
by: Li, Xiaoyu, et al.
Published: (2025)
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)
by: Liu, Nian, et al.
Published: (2023)
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
by: Wu, Yucheng, et al.
Published: (2024)
by: Wu, Yucheng, et al.
Published: (2024)
On the Expressive Power of Subgraph Graph Neural Networks for Graphs with Bounded Cycles
by: Chen, Ziang, et al.
Published: (2025)
by: Chen, Ziang, et al.
Published: (2025)
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
by: Wang, Zhe, et al.
Published: (2024)
by: Wang, Zhe, et al.
Published: (2024)
Conditional Local Feature Encoding for Graph Neural Networks
by: Wang, Yongze, et al.
Published: (2024)
by: Wang, Yongze, et al.
Published: (2024)
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)
by: Fan, Shaohua, et al.
Published: (2021)
Unleash Graph Neural Networks from Heavy Tuning
by: Lin, Lequan, et al.
Published: (2024)
by: Lin, Lequan, et al.
Published: (2024)
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
by: Bai, Jisheng, et al.
Published: (2023)
by: Bai, Jisheng, et al.
Published: (2023)
Predictive Directional Selective Fixed-Filter Active Noise Control for Moving Sources via a Convolutional Recurrent Neural Network
by: Wang, Boxiang, et al.
Published: (2026)
by: Wang, Boxiang, et al.
Published: (2026)
Extending the RANGE of Graph Neural Networks: Relaying Attention Nodes for Global Encoding
by: Caruso, Alessandro, et al.
Published: (2025)
by: Caruso, Alessandro, et al.
Published: (2025)
Safe Trajectory Sets for Online Operation of Power Systems under Uncertainty
by: Klein-Helmkamp, Florian, et al.
Published: (2024)
by: Klein-Helmkamp, Florian, et al.
Published: (2024)
Efficient Online Set-valued Classification with Bandit Feedback
by: Wang, Zhou, et al.
Published: (2024)
by: Wang, Zhou, et al.
Published: (2024)
Covert Communication Achieved by A Greedy Relay in Wireless Networks
by: Hu, Jinsong, et al.
Published: (2017)
by: Hu, Jinsong, et al.
Published: (2017)
A Stabilized Hybrid Active Noise Control Algorithm of GFANC and FxNLMS with Online Clustering
by: Luo, Zhengding, et al.
Published: (2026)
by: Luo, Zhengding, et al.
Published: (2026)
Beamforming Design for IRS-and-UAV-Aided Two-Way Amplify-and-Forward Relay Networks in Maritime IoT
by: Wang, Xuehui, et al.
Published: (2023)
by: Wang, Xuehui, et al.
Published: (2023)
Directional Selective Fixed-Filter Active Noise Control Based on a Convolutional Neural Network in Reverberant Environments
by: Wang, Boxiang, et al.
Published: (2026)
by: Wang, Boxiang, et al.
Published: (2026)
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
by: Lin, Lequan, et al.
Published: (2024)
by: Lin, Lequan, et al.
Published: (2024)
Random Search Neural Networks for Efficient and Expressive Graph Learning
by: Ito, Michael, et al.
Published: (2025)
by: Ito, Michael, et al.
Published: (2025)
Similar Items
-
Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning
by: Li, Yan, et al.
Published: (2025) -
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
by: Pei, Jianhua, et al.
Published: (2023) -
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions
by: Pei, Jianhua, et al.
Published: (2025) -
Online Adversarial Knowledge Distillation for Graph Neural Networks
by: Wang, Can, et al.
Published: (2021) -
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
by: Li, Xiaoyu, et al.
Published: (2024)