Cover Image

A Cross-graph Tuning-free GNN Prompting Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yaqi, Huang, Shixun, Twemlow, Ryan, Wang, Lei, Le, John, Wang, Sheng, Susilo, Willy, Yan, Jun, Shen, Jun
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Deep Learning based Carbon Price Forecasting Framework with Structural Breakpoints Detection and Signal Denoising
by: Ren, Runsheng, et al.
Published: (2025)

CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
by: Lv, Weijie, et al.
Published: (2024)

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
by: Zheng, Mengxin, et al.
Published: (2023)

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)

Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
by: Jiang, Haitian, et al.
Published: (2023)

BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration
by: Hou, Jun, et al.
Published: (2025)

Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)

Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
by: Jiang, Yongqi, et al.
Published: (2024)

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
by: Luo, Qin-Wen, et al.
Published: (2024)

The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework
by: Huang, Jincheng, et al.
Published: (2025)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
by: Liu, Renjie, et al.
Published: (2024)

GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
by: Zhu, Zhongshu, et al.
Published: (2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)

Domain-Skewed Federated Learning with Feature Decoupling and Calibration
by: Wang, Huan, et al.
Published: (2026)

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)

Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
by: Chen, Siqi, et al.
Published: (2026)

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
by: Wang, Huan, et al.
Published: (2025)

Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)

Controllable Prompt Tuning For Balancing Group Distributional Robustness
by: Phan, Hoang, et al.
Published: (2024)

FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
by: Wang, Huan, et al.
Published: (2025)

Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
by: Ye, Zesheng, et al.
Published: (2025)

Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)

Localized exploration in contextual dynamic pricing achieves dimension-free regret
by: Chai, Jinhang, et al.
Published: (2024)

Improving Generalization of Deep Neural Networks by Optimum Shifting
by: Zhou, Yuyan, et al.
Published: (2024)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
by: Zhang, Tianrong, et al.
Published: (2024)

Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems
by: Ma, Aoxiang, et al.
Published: (2025)

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP
by: Wang, Zhiyuan, et al.
Published: (2025)

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
by: Chen, Qin, et al.
Published: (2025)

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
by: Hua, Cong, et al.
Published: (2025)

DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
by: Du, Hongwei, et al.
Published: (2025)

Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
by: Wang, Shuoyuan, et al.
Published: (2024)

Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
by: Sua, Lutfu, et al.
Published: (2025)

Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
by: Wang, Junxiang, et al.
Published: (2023)

Explaining GNN Explanations with Edge Gradients
by: He, Jesse, et al.
Published: (2025)

PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs
by: Peng, Dan, et al.
Published: (2024)

LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning
by: Prakriya, Neha, et al.
Published: (2025)