Imagen de Portada

Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cui, Hang, Abdelzaher, Tarek
Formato:	Preprint
Publicado:	2024
Materias:	Social and Information Networks Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Encoder Embedding for General Graph and Node Classification
por: Shen, Cencheng
Publicado: (2024)

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
por: Bei, Yuanchen, et al.
Publicado: (2024)

Fully-inductive Node Classification on Arbitrary Graphs
por: Zhao, Jianan, et al.
Publicado: (2024)

Disambiguated Node Classification with Graph Neural Networks
por: Zhao, Tianxiang, et al.
Publicado: (2024)

Polarization Detection on Social Networks: dual contrastive objectives for Self-supervision
por: Cui, Hang, et al.
Publicado: (2024)

Unsupervised node clustering via contrastive hard sampling
por: Cui, Hang, et al.
Publicado: (2024)

A Probabilistic Model for Node Classification in Directed Graphs
por: Huerta, Diego, et al.
Publicado: (2025)

NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
por: Wang, Qiyi, et al.
Publicado: (2025)

When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
por: Luan, Sitao, et al.
Publicado: (2023)

Node Classification in Random Trees
por: Nuijten, Wouter W. L., et al.
Publicado: (2023)

Lying Graph Convolution: Learning to Lie for Node Classification Tasks
por: Castellana, Daniele
Publicado: (2024)

GraphSB: Boosting Imbalanced Node Classification on Graphs through Structural Balance
por: Zhu, Chaofan, et al.
Publicado: (2025)

Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
por: Wang, Songbo, et al.
Publicado: (2025)

Classifying Nodes in Graphs without GNNs
por: Winter, Daniel, et al.
Publicado: (2024)

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
por: Zhang, Tianyu, et al.
Publicado: (2024)

Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
por: Vahidi, Soroush
Publicado: (2025)

Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
por: Wang, Yancheng, et al.
Publicado: (2024)

Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
por: Ghosh, Hritaban, et al.
Publicado: (2024)

Preference-driven Knowledge Distillation for Few-shot Node Classification
por: Wei, Xing, et al.
Publicado: (2025)

Generating Human Understandable Explanations for Node Embeddings
por: Shafi, Zohair, et al.
Publicado: (2024)

BANGS: Game-Theoretic Node Selection for Graph Self-Training
por: Wang, Fangxin, et al.
Publicado: (2024)

Mixture of Message Passing Experts with Routing Entropy Regularization for Node Classification
por: Chen, Xuanze, et al.
Publicado: (2025)

When Do LLMs Help With Node Classification? A Comprehensive Analysis
por: Wu, Xixi, et al.
Publicado: (2025)

Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
por: Zhu, Hongyin
Publicado: (2024)

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
por: Zhao, Huanjing, et al.
Publicado: (2024)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
por: Platonov, Oleg, et al.
Publicado: (2022)

Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
por: Stephens, Anna, et al.
Publicado: (2024)

Attacks on Node Attributes in Graph Neural Networks
por: Xu, Ying, et al.
Publicado: (2024)

Open-World Semi-Supervised Learning for Node Classification
por: Wang, Yanling, et al.
Publicado: (2024)

Hyperdimensional Representation Learning for Node Classification and Link Prediction
por: Dalvi, Abhishek, et al.
Publicado: (2024)

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
por: Jiang, Mengying, et al.
Publicado: (2024)

The Effects of Randomness on the Stability of Node Embeddings
por: Schumacher, Tobias, et al.
Publicado: (2020)

Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
por: Sun, Henan, et al.
Publicado: (2023)

Clarify Confused Nodes via Separated Learning
por: Zhou, Jiajun, et al.
Publicado: (2023)

Rethinking Node-wise Propagation for Large-scale Graph Learning
por: Li, Xunkai, et al.
Publicado: (2024)

Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection
por: Koo, Eunho, et al.
Publicado: (2025)

Node Duplication Improves Cold-start Link Prediction
por: Guo, Zhichun, et al.
Publicado: (2024)

Novel Node Category Detection Under Subpopulation Shift
por: Chung, Hsing-Huan, et al.
Publicado: (2024)

LLMs Between the Nodes: Community Discovery Beyond Vectors
por: Gujral, Ekta, et al.
Publicado: (2025)

Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
por: Laha, Somak, et al.
Publicado: (2026)