Cover Image

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhuo, Shengda, Fang, Jiwang, Lin, Hongguang, Tang, Yin, Chen, Min, Wang, Changdong, Huang, Shuqiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features
by: Zhuo, Shengda, et al.
Published: (2025)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
by: Luo, Xiaotong, et al.
Published: (2025)

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)

Graph Learning with Distributional Edge Layouts
by: Zhao, Xinjian, et al.
Published: (2024)

SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
by: Zhong, Luying, et al.
Published: (2024)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)

Adaptive Edge Learning for Density-Aware Graph Generation
by: Razavi, Seyedeh Ava Razi, et al.
Published: (2026)

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
by: Zeng, Liekang, et al.
Published: (2024)

Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning
by: Rossolini, Giulio, et al.
Published: (2025)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)

Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)

Graph Federated Learning Based Proactive Content Caching in Edge Computing
by: Wang, Rui
Published: (2025)

Edge Prompt Tuning for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
by: Zhao, Mengjie, et al.
Published: (2023)

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
by: Lin, Zheng, et al.
Published: (2023)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
by: Chen, Zhaoliang, et al.
Published: (2024)

Graph Neural Networks with Feature and Structure Aware Random Walk
by: Zhuo, Wei, et al.
Published: (2021)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
by: Fang, Han, et al.
Published: (2025)

Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs
by: Lu, Fan, et al.
Published: (2024)

Neural Dynamics-Informed Pre-trained Framework for Personalized Brain Functional Network Construction
by: Jiang, Hongjie, et al.
Published: (2026)

Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
by: Fang, Zhiyuan, et al.
Published: (2025)

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
by: Xue, Zhiming, et al.
Published: (2026)

Debiasing Online Preference Learning via Preference Feature Preservation
by: Kim, Dongyoung, et al.
Published: (2025)

On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2026)

Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
by: Zhong, Xiuqin, et al.
Published: (2024)

Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes
by: Berman, Nimrod, et al.
Published: (2024)

AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
by: Liu, Shuo, et al.
Published: (2024)

Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices
by: Slamanig, Georg, et al.
Published: (2025)

Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
by: Bessone, Nicolas
Published: (2025)

GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses
by: Lischka, Attila, et al.
Published: (2026)

Graph Neural Network with One-side Edge Sampling for Fraud Detection
by: Trieu, Hoang Hiep
Published: (2026)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
by: Heo, Jaeseung, et al.
Published: (2025)

A GREAT Architecture for Edge-Based Graph Problems Like TSP
by: Lischka, Attila, et al.
Published: (2024)

Hardware-Aware DNN Compression for Homogeneous Edge Devices
by: Zhang, Kunlong, et al.
Published: (2025)

Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge
by: Hu, Senkang, et al.
Published: (2025)

Edge Private Graph Neural Networks with Singular Value Perturbation
by: Tang, Tingting, et al.
Published: (2024)

Explainability and Continual Learning meet Federated Learning at the Network Edge
by: Tsouparopoulos, Thomas, et al.
Published: (2025)