Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Bae, Chaewoon, Choi, Doyun, Lee, Jaehyun, Yoo, Jaemin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
by: Choi, Doyun, et al.
Published: (2025)
by: Choi, Doyun, et al.
Published: (2025)
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
by: Kim, Sunwoo, et al.
Published: (2024)
by: Kim, Sunwoo, et al.
Published: (2024)
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
by: Lee, Dooho, et al.
Published: (2025)
by: Lee, Dooho, et al.
Published: (2025)
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)
by: Luo, Yihong, et al.
Published: (2024)
Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities
by: Orzikulova, Adiba, et al.
Published: (2024)
by: Orzikulova, Adiba, et al.
Published: (2024)
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
by: Zhao, Huanjing, et al.
Published: (2024)
by: Zhao, Huanjing, et al.
Published: (2024)
Global-Local Graph Neural Networks for Node-Classification
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
by: Bazaga, Adrián, et al.
Published: (2024)
by: Bazaga, Adrián, et al.
Published: (2024)
Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks
by: Bilot, Tristan, et al.
Published: (2025)
by: Bilot, Tristan, et al.
Published: (2025)
Cough Classification using Few-Shot Learning
by: Kumar, Yoga Disha Sendhil, et al.
Published: (2025)
by: Kumar, Yoga Disha Sendhil, et al.
Published: (2025)
Accelerating Convergence in Bayesian Few-Shot Classification
by: Ke, Tianjun, et al.
Published: (2024)
by: Ke, Tianjun, et al.
Published: (2024)
Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
NetEffect: Discovery and Exploitation of Generalized Network Effects
by: Lee, Meng-Chieh, et al.
Published: (2022)
by: Lee, Meng-Chieh, et al.
Published: (2022)
Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)
by: Duta, Iulia, et al.
Published: (2025)
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
by: Zhao, Ziming, et al.
Published: (2024)
by: Zhao, Ziming, et al.
Published: (2024)
View Space: Learning Representation across Arbitrary Graphs
by: Lee, Dooho, et al.
Published: (2025)
by: Lee, Dooho, et al.
Published: (2025)
Distribution Free Prediction Sets for Node Classification
by: Clarkson, Jase
Published: (2022)
by: Clarkson, Jase
Published: (2022)
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
by: Lee, Seungjoo, et al.
Published: (2024)
by: Lee, Seungjoo, et al.
Published: (2024)
Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring
by: Kim, Jongyeop, et al.
Published: (2026)
by: Kim, Jongyeop, et al.
Published: (2026)
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
by: Yuan, Yuan, et al.
Published: (2024)
by: Yuan, Yuan, et al.
Published: (2024)
Generalization Performance of Hypergraph Neural Networks
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Metric Based Few-Shot Graph Classification
by: Crisostomi, Donato, et al.
Published: (2022)
by: Crisostomi, Donato, et al.
Published: (2022)
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)
by: Yu, Jianxiang, et al.
Published: (2023)
'Hello, World!': Making GNNs Talk with LLMs
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
MetaSTH-Sleep: Towards Effective Few-Shot Sleep Stage Classification for Health Management with Spatial-Temporal Hypergraph Enhanced Meta-Learning
by: Li, Jingyu, et al.
Published: (2025)
by: Li, Jingyu, et al.
Published: (2025)
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
by: Qing, Jixiang, et al.
Published: (2024)
by: Qing, Jixiang, et al.
Published: (2024)
Implicit Hypergraph Neural Network
by: Choudhuri, Akash, et al.
Published: (2025)
by: Choudhuri, Akash, et al.
Published: (2025)
Training-Free Zero-Shot Anomaly Detection in 3D Brain MRI with 2D Foundation Models
by: Le-Gia, Tai, et al.
Published: (2026)
by: Le-Gia, Tai, et al.
Published: (2026)
Preference-driven Knowledge Distillation for Few-shot Node Classification
by: Wei, Xing, et al.
Published: (2025)
by: Wei, Xing, et al.
Published: (2025)
Hybrid Hypergraph Networks for Multimodal Sequence Data Classification
by: Xu, Feng, et al.
Published: (2025)
by: Xu, Feng, et al.
Published: (2025)
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
by: Dissanayake, Pasan, et al.
Published: (2025)
by: Dissanayake, Pasan, et al.
Published: (2025)
Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
by: Zhang, Baoming, et al.
Published: (2025)
by: Zhang, Baoming, et al.
Published: (2025)
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
by: Kim, Sunwoo, et al.
Published: (2024)
by: Kim, Sunwoo, et al.
Published: (2024)
Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion
by: Zheng, Yijia, et al.
Published: (2024)
by: Zheng, Yijia, et al.
Published: (2024)
PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering
by: Choi, Doyun, et al.
Published: (2026)
by: Choi, Doyun, et al.
Published: (2026)
Model Adaptation for Time Constrained Embodied Control
by: Song, Jaehyun, et al.
Published: (2024)
by: Song, Jaehyun, et al.
Published: (2024)
Improving Audio Classification by Transitioning from Zero- to Few-Shot
by: Taylor, James, et al.
Published: (2025)
by: Taylor, James, et al.
Published: (2025)
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
by: Sgouropoulos, Christos, et al.
Published: (2025)
by: Sgouropoulos, Christos, et al.
Published: (2025)
Similar Items
-
Hypergraph Neural Network with State Space Models for Node Classification
by: Quadir, A., et al.
Published: (2025) -
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
by: Choi, Doyun, et al.
Published: (2025) -
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
by: Kim, Sunwoo, et al.
Published: (2024) -
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
by: Lee, Dooho, et al.
Published: (2025) -
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)