Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
Fuente:
arXiv
Guardado en:
| Autores principales: | Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
por: Chen, Yuhan, et al.
Publicado: (2025)
por: Chen, Yuhan, et al.
Publicado: (2025)
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
por: Zhao, Huanjing, et al.
Publicado: (2024)
por: Zhao, Huanjing, et al.
Publicado: (2024)
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2025)
por: Wang, Yuxiang, et al.
Publicado: (2025)
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2024)
por: Wang, Yuxiang, et al.
Publicado: (2024)
Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
por: Chen, Jianlong, et al.
Publicado: (2026)
por: Chen, Jianlong, et al.
Publicado: (2026)
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
por: Luo, Yihong, et al.
Publicado: (2026)
por: Luo, Yihong, et al.
Publicado: (2026)
Metric Based Few-Shot Graph Classification
por: Crisostomi, Donato, et al.
Publicado: (2022)
por: Crisostomi, Donato, et al.
Publicado: (2022)
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
por: Zhang, Taiyan, et al.
Publicado: (2024)
por: Zhang, Taiyan, et al.
Publicado: (2024)
LightSAM: Parameter-Agnostic Sharpness-Aware Minimization
por: Cheng, Yifei, et al.
Publicado: (2025)
por: Cheng, Yifei, et al.
Publicado: (2025)
Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization
por: Xu, Le, et al.
Publicado: (2025)
por: Xu, Le, et al.
Publicado: (2025)
Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
por: Luo, Haocheng, et al.
Publicado: (2026)
por: Luo, Haocheng, et al.
Publicado: (2026)
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
por: Guo, Quanjiang, et al.
Publicado: (2024)
por: Guo, Quanjiang, et al.
Publicado: (2024)
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
por: Li, Sicong, et al.
Publicado: (2025)
por: Li, Sicong, et al.
Publicado: (2025)
Accelerating Convergence in Bayesian Few-Shot Classification
por: Ke, Tianjun, et al.
Publicado: (2024)
por: Ke, Tianjun, et al.
Publicado: (2024)
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification
por: Barreda, Jesus, et al.
Publicado: (2024)
por: Barreda, Jesus, et al.
Publicado: (2024)
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
por: Cao, Tianxiao, et al.
Publicado: (2025)
por: Cao, Tianxiao, et al.
Publicado: (2025)
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
por: Dai, Yucong, et al.
Publicado: (2025)
por: Dai, Yucong, et al.
Publicado: (2025)
Energy-Calibrated VAE with Test Time Free Lunch
por: Luo, Yihong, et al.
Publicado: (2023)
por: Luo, Yihong, et al.
Publicado: (2023)
Stability Analysis of Sharpness-Aware Minimization
por: Kim, Hoki, et al.
Publicado: (2023)
por: Kim, Hoki, et al.
Publicado: (2023)
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
por: Zou, Yiwei, et al.
Publicado: (2024)
por: Zou, Yiwei, et al.
Publicado: (2024)
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning
por: Qi, Biqing, et al.
Publicado: (2024)
por: Qi, Biqing, et al.
Publicado: (2024)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
por: Wang, Qian, et al.
Publicado: (2024)
por: Wang, Qian, et al.
Publicado: (2024)
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
por: Zhang, Yihao, et al.
Publicado: (2024)
por: Zhang, Yihao, et al.
Publicado: (2024)
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
por: Tan, Chengli, et al.
Publicado: (2025)
por: Tan, Chengli, et al.
Publicado: (2025)
Hypergraph-Based Dynamic Graph Node Classification
por: Ma, Xiaoxu, et al.
Publicado: (2024)
por: Ma, Xiaoxu, et al.
Publicado: (2024)
X-SAM: Boosting Sharpness-Aware Minimization with Dominant-Eigenvector Gradient Correction
por: Duan, Hongru, et al.
Publicado: (2026)
por: Duan, Hongru, et al.
Publicado: (2026)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
por: Qiao, Qiao, et al.
Publicado: (2023)
por: Qiao, Qiao, et al.
Publicado: (2023)
Rethinking Tokenized Graph Transformers for Node Classification
por: Chen, Jinsong, et al.
Publicado: (2025)
por: Chen, Jinsong, et al.
Publicado: (2025)
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
por: Song, Yifan, et al.
Publicado: (2025)
por: Song, Yifan, et al.
Publicado: (2025)
Membership Privacy Risks of Sharpness Aware Minimization
por: Kim, Young In, et al.
Publicado: (2023)
por: Kim, Young In, et al.
Publicado: (2023)
Navigating Potholes with Geometry-Aware Sharpness Minimization
por: Dufort-Labbé, Simon, et al.
Publicado: (2026)
por: Dufort-Labbé, Simon, et al.
Publicado: (2026)
SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
por: Sheng, Ziqi, et al.
Publicado: (2024)
por: Sheng, Ziqi, et al.
Publicado: (2024)
Label-template based Few-Shot Text Classification with Contrastive Learning
por: Hou, Guanghua, et al.
Publicado: (2024)
por: Hou, Guanghua, et al.
Publicado: (2024)
Attributing Data for Sharpness-Aware Minimization
por: Ren, Chenyang, et al.
Publicado: (2025)
por: Ren, Chenyang, et al.
Publicado: (2025)
Does Homophily Help in Robust Test-time Node Classification?
por: Jiang, Yan, et al.
Publicado: (2025)
por: Jiang, Yan, et al.
Publicado: (2025)
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
por: Ding, Pengfei, et al.
Publicado: (2024)
por: Ding, Pengfei, et al.
Publicado: (2024)
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval
por: Song, Yifan, et al.
Publicado: (2026)
por: Song, Yifan, et al.
Publicado: (2026)
Mask-guided BERT for Few Shot Text Classification
por: Liao, Wenxiong, et al.
Publicado: (2023)
por: Liao, Wenxiong, et al.
Publicado: (2023)
Advancing Graph Few-Shot Learning via In-Context Learning
por: Guan, Renchu, et al.
Publicado: (2026)
por: Guan, Renchu, et al.
Publicado: (2026)
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
por: Zhang, Tiange, et al.
Publicado: (2024)
por: Zhang, Tiange, et al.
Publicado: (2024)
Ejemplares similares
-
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
por: Chen, Yuhan, et al.
Publicado: (2025) -
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
por: Zhao, Huanjing, et al.
Publicado: (2024) -
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2025) -
Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
por: Wang, Yuxiang, et al.
Publicado: (2024) -
Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
por: Chen, Jianlong, et al.
Publicado: (2026)