Cover Image

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yonghao, Sun, Jialu, Pang, Wei, Giunchiglia, Fausto, Li, Ximing, Feng, Xiaoyue, Guan, Renchu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
by: Liu, Yonghao, et al.
Published: (2025)

Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
by: Liu, Yonghao, et al.
Published: (2025)

Advancing Graph Few-Shot Learning via In-Context Learning
by: Guan, Renchu, et al.
Published: (2026)

Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
by: Liu, Yonghao, et al.
Published: (2025)

Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)

A Simple Graph Contrastive Learning Framework for Short Text Classification
by: Liu, Yonghao, et al.
Published: (2025)

Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
by: Liu, Yonghao, et al.
Published: (2024)

Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification
by: Li, Mengyu, et al.
Published: (2024)

KAE: A Property-based Method for Knowledge Graph Alignment and Extension
by: Shi, Daqian, et al.
Published: (2024)

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
by: Liu, Yonghao, et al.
Published: (2025)

Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference
by: Liu, Yonghao, et al.
Published: (2024)

AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2025)

Harmful Visual Content Manipulation Matters in Misinformation Detection Under Multimedia Scenarios
by: Wang, Bing, et al.
Published: (2026)

Towards Few-shot Self-explaining Graph Neural Networks
by: Peng, Jingyu, et al.
Published: (2024)

Hyperbolic Graph Diffusion Model
by: Wen, Lingfeng, et al.
Published: (2023)

Few-shot Link Prediction on N-ary Facts
by: Wei, Jiyao, et al.
Published: (2023)

Help the machine to help you: an evaluation in the wild of egocentric data cleaning via skeptical learning
by: Bontempelli, Andrea, et al.
Published: (2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
by: Liu, Lihui, et al.
Published: (2025)

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

From Knowledge Representation to Knowledge Organization and Back
by: Giunchiglia, Fausto, et al.
Published: (2023)

Episodic-free Task Selection for Few-shot Learning
by: Zhang, Tao
Published: (2024)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
by: Ma, Tengfei, et al.
Published: (2023)

TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
by: Gao, Xinyu
Published: (2025)

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning
by: Han, Xiaosong, et al.
Published: (2026)

Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
by: Park, Jongmin, et al.
Published: (2024)

Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
by: Zhang, Jinghua, et al.
Published: (2023)

ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)

From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning
by: Feng, Siling, et al.
Published: (2024)

Crowdsourcing of Real-world Image Annotation via Visual Properties
by: Diao, Xiaolei, et al.
Published: (2026)

What can Computer Vision learn from Ranganathan?
by: Bagchi, Mayukh, et al.
Published: (2026)

Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
by: Song, Qipeng, et al.
Published: (2025)

Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2024)

An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)

Reimagining Parameter Space Exploration with Diffusion Models
by: Zhang, Lijun, et al.
Published: (2025)

Understanding and Improving Hyperbolic Deep Reinforcement Learning
by: Klein, Timo, et al.
Published: (2025)

Neural Force Field: Few-shot Learning of Generalized Physical Reasoning
by: Li, Shiqian, et al.
Published: (2025)

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)

NTK-Guided Few-Shot Class Incremental Learning
by: Liu, Jingren, et al.
Published: (2024)

Quantum Diffusion Models for Few-Shot Learning
by: Wang, Ruhan, et al.
Published: (2024)

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
by: Song, Wenhao, et al.
Published: (2025)