Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Baoming, Chen, MingCai, Song, Jianqing, Li, Shuangjie, Zhang, Jie, Wang, Chongjun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Similarity-Navigated Conformal Prediction for Graph Neural Networks
by: Song, Jianqing, et al.
Published: (2024)
by: Song, Jianqing, et al.
Published: (2024)
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
by: Li, Shuangjie, et al.
Published: (2024)
by: Li, Shuangjie, et al.
Published: (2024)
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024)
by: Li, Shuangjie, et al.
Published: (2024)
Geometric Imbalance in Semi-Supervised Node Classification
by: Yan, Liang, et al.
Published: (2023)
by: Yan, Liang, et al.
Published: (2023)
Graph Similarity Regularized Softmax for Semi-Supervised Node Classification
by: Yang, Yiming, et al.
Published: (2024)
by: Yang, Yiming, et al.
Published: (2024)
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing
by: Kohn, Matthias, et al.
Published: (2024)
by: Kohn, Matthias, et al.
Published: (2024)
Open-World Semi-Supervised Learning for Node Classification
by: Wang, Yanling, et al.
Published: (2024)
by: Wang, Yanling, et al.
Published: (2024)
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
by: Yan, Qilong, et al.
Published: (2024)
by: Yan, Qilong, et al.
Published: (2024)
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
by: Yan, Liang, et al.
Published: (2023)
by: Yan, Liang, et al.
Published: (2023)
Preference-driven Knowledge Distillation for Few-shot Node Classification
by: Wei, Xing, et al.
Published: (2025)
by: Wei, Xing, et al.
Published: (2025)
Non-Homophilic Graph Pre-Training and Prompt Learning
by: Yu, Xingtong, et al.
Published: (2024)
by: Yu, Xingtong, et al.
Published: (2024)
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
by: Achten, Sonny, et al.
Published: (2023)
by: Achten, Sonny, et al.
Published: (2023)
Mixed Graph Contrastive Network for Semi-Supervised Node Classification
by: Yang, Xihong, et al.
Published: (2022)
by: Yang, Xihong, et al.
Published: (2022)
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)
by: Shen, Zhaiming, et al.
Published: (2022)
Semi-Supervised Learning with Multi-Head Co-Training
by: Chen, Mingcai, et al.
Published: (2021)
by: Chen, Mingcai, et al.
Published: (2021)
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)
by: Li, Jiliang, et al.
Published: (2024)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
by: Cai, Huili, et al.
Published: (2023)
by: Cai, Huili, et al.
Published: (2023)
Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)
by: Guan, Renchu, et al.
Published: (2025)
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
by: Akujuobi, Uchenna, et al.
Published: (2019)
by: Akujuobi, Uchenna, et al.
Published: (2019)
Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization
by: Chen, Yankai, et al.
Published: (2025)
by: Chen, Yankai, et al.
Published: (2025)
Hypergraph Transformer for Semi-Supervised Classification
by: Liu, Zexi, et al.
Published: (2023)
by: Liu, Zexi, et al.
Published: (2023)
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning
by: Kutt, Brody, et al.
Published: (2022)
by: Kutt, Brody, et al.
Published: (2022)
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
by: Zhang, Jinghua, et al.
Published: (2023)
by: Zhang, Jinghua, et al.
Published: (2023)
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
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)
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
by: Hong, Mengze, et al.
Published: (2024)
by: Hong, Mengze, et al.
Published: (2024)
Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
by: Chen, Xuanze, et al.
Published: (2025)
by: Chen, Xuanze, 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)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
by: Zhao, Shiman, et al.
Published: (2025)
by: Zhao, Shiman, et al.
Published: (2025)
Flatness Improves Backbone Generalisation in Few-shot Classification
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
by: Wang, Yi-Siang, et al.
Published: (2026)
by: Wang, Yi-Siang, et al.
Published: (2026)
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
by: Bae, Chaewoon, et al.
Published: (2025)
by: Bae, Chaewoon, et al.
Published: (2025)
ATLAS: Adaptive Topology-based Learning at Scale for Homophilic and Heterophilic Graphs
by: Kundu, Turja, et al.
Published: (2025)
by: Kundu, Turja, et al.
Published: (2025)
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
by: Huang, Zibin, et al.
Published: (2024)
by: Huang, Zibin, et al.
Published: (2024)
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
by: Lee, Seungjoo, et al.
Published: (2024)
by: Lee, Seungjoo, et al.
Published: (2024)
Gate the Filter, Not the Message: Node-Channel Mixtures for Pre-Propagation GNNs
by: Yue, Zichao, et al.
Published: (2026)
by: Yue, Zichao, et al.
Published: (2026)
Bringing Graphs to the Table: Zero-shot Node Classification via Tabular Foundation Models
by: Hayler, Adrian, et al.
Published: (2025)
by: Hayler, Adrian, et al.
Published: (2025)
Similar Items
-
Similarity-Navigated Conformal Prediction for Graph Neural Networks
by: Song, Jianqing, et al.
Published: (2024) -
Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise
by: Li, Shuangjie, et al.
Published: (2024) -
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
by: Li, Shuangjie, et al.
Published: (2024) -
Geometric Imbalance in Semi-Supervised Node Classification
by: Yan, Liang, et al.
Published: (2023) -
Graph Similarity Regularized Softmax for Semi-Supervised Node Classification
by: Yang, Yiming, et al.
Published: (2024)