Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhu, ZhiTeng, Yao, Lan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Contrastive Graph Pooling for Explainable Classification of Brain Networks
por: Xu, Jiaxing, et al.
Publicado: (2023)
por: Xu, Jiaxing, et al.
Publicado: (2023)
Dual-perspective Cross Contrastive Learning in Graph Transformers
por: Yao, Zelin, et al.
Publicado: (2024)
por: Yao, Zelin, et al.
Publicado: (2024)
CLDG: Contrastive Learning on Dynamic Graphs
por: Xu, Yiming, et al.
Publicado: (2024)
por: Xu, Yiming, et al.
Publicado: (2024)
Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection
por: Leng, Yicheng, et al.
Publicado: (2025)
por: Leng, Yicheng, et al.
Publicado: (2025)
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
por: Ma, Jiajun, et al.
Publicado: (2025)
por: Ma, Jiajun, et al.
Publicado: (2025)
Biologically Plausible Brain Graph Transformer
por: Peng, Ciyuan, et al.
Publicado: (2025)
por: Peng, Ciyuan, et al.
Publicado: (2025)
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
por: Shou, Yuntao, et al.
Publicado: (2024)
por: Shou, Yuntao, et al.
Publicado: (2024)
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
por: Yin, Nan, et al.
Publicado: (2023)
por: Yin, Nan, et al.
Publicado: (2023)
A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders
por: Liao, Qianqian, et al.
Publicado: (2025)
por: Liao, Qianqian, et al.
Publicado: (2025)
Oversmoothing: A Nightmare for Graph Contrastive Learning?
por: Li, Jintang, et al.
Publicado: (2023)
por: Li, Jintang, et al.
Publicado: (2023)
Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
por: Mäkelburg, Johannes, et al.
Publicado: (2024)
por: Mäkelburg, Johannes, et al.
Publicado: (2024)
Variational Graph Contrastive Learning
por: Xie, Shifeng, et al.
Publicado: (2024)
por: Xie, Shifeng, et al.
Publicado: (2024)
Conditional Distribution Learning for Graph Classification
por: Chen, Jie, et al.
Publicado: (2024)
por: Chen, Jie, et al.
Publicado: (2024)
Refined Causal Graph Structure Learning via Curvature for Brain Disease Classification
por: Febrinanto, Falih Gozi, et al.
Publicado: (2025)
por: Febrinanto, Falih Gozi, et al.
Publicado: (2025)
Brain PathoGraph Learning
por: Peng, Ciyuan, et al.
Publicado: (2025)
por: Peng, Ciyuan, et al.
Publicado: (2025)
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
por: Xu, Jiaxing, et al.
Publicado: (2024)
por: Xu, Jiaxing, et al.
Publicado: (2024)
Self-Reinforced Graph Contrastive Learning
por: Hsieh, Chou-Ying, et al.
Publicado: (2025)
por: Hsieh, Chou-Ying, et al.
Publicado: (2025)
Rethinking Tokenized Graph Transformers for Node Classification
por: Chen, Jinsong, et al.
Publicado: (2025)
por: Chen, Jinsong, et al.
Publicado: (2025)
Revisiting Graph Autoencoders as Implicit Contrastive Learners
por: Li, Jintang, et al.
Publicado: (2024)
por: Li, Jintang, et al.
Publicado: (2024)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)
por: Wang, Ling, et al.
Publicado: (2024)
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
por: Zhang, Yifei, et al.
Publicado: (2023)
por: Zhang, Yifei, et al.
Publicado: (2023)
Graph Propagation Transformer for Graph Representation Learning
por: Chen, Zhe, et al.
Publicado: (2023)
por: Chen, Zhe, et al.
Publicado: (2023)
Transformers are Graph Neural Networks
por: Joshi, Chaitanya K.
Publicado: (2025)
por: Joshi, Chaitanya K.
Publicado: (2025)
Dual-Kernel Graph Community Contrastive Learning
por: Chen, Xiang, et al.
Publicado: (2025)
por: Chen, Xiang, et al.
Publicado: (2025)
Graph Contrastive Learning with Cohesive Subgraph Awareness
por: Wu, Yucheng, et al.
Publicado: (2024)
por: Wu, Yucheng, et al.
Publicado: (2024)
Global Concept Explanations for Graphs by Contrastive Learning
por: Teufel, Jonas, et al.
Publicado: (2024)
por: Teufel, Jonas, et al.
Publicado: (2024)
TopoGCL: Topological Graph Contrastive Learning
por: Chen, Yuzhou, et al.
Publicado: (2024)
por: Chen, Yuzhou, et al.
Publicado: (2024)
Fair Graph Neural Network with Supervised Contrastive Regularization
por: Kejani, Mahdi Tavassoli, et al.
Publicado: (2024)
por: Kejani, Mahdi Tavassoli, et al.
Publicado: (2024)
CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
por: Zhang, Tianyu, et al.
Publicado: (2021)
por: Zhang, Tianyu, et al.
Publicado: (2021)
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
por: Chen, Yang, et al.
Publicado: (2025)
por: Chen, Yang, et al.
Publicado: (2025)
Hybrid Focal and Full-Range Attention Based Graph Transformers
por: Zhu, Minhong, et al.
Publicado: (2023)
por: Zhu, Minhong, et al.
Publicado: (2023)
A Binary Classification Social Network Dataset for Graph Machine Learning
por: Ali, Adnan, et al.
Publicado: (2025)
por: Ali, Adnan, et al.
Publicado: (2025)
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
por: Hong, Zhi, et al.
Publicado: (2026)
por: Hong, Zhi, et al.
Publicado: (2026)
Cooperative Classification and Rationalization for Graph Generalization
por: Yue, Linan, et al.
Publicado: (2024)
por: Yue, Linan, et al.
Publicado: (2024)
SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification
por: Wang, Shangyou, et al.
Publicado: (2025)
por: Wang, Shangyou, et al.
Publicado: (2025)
YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
por: Wang, Chenxu, et al.
Publicado: (2024)
por: Wang, Chenxu, et al.
Publicado: (2024)
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
por: Wu, Lirong, et al.
Publicado: (2024)
por: Wu, Lirong, et al.
Publicado: (2024)
Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
por: Liu, Siyu, et al.
Publicado: (2026)
por: Liu, Siyu, et al.
Publicado: (2026)
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection
por: Ren, Jing, et al.
Publicado: (2025)
por: Ren, Jing, et al.
Publicado: (2025)
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
por: Chen, Mulin, et al.
Publicado: (2024)
por: Chen, Mulin, et al.
Publicado: (2024)
Ejemplares similares
-
Contrastive Graph Pooling for Explainable Classification of Brain Networks
por: Xu, Jiaxing, et al.
Publicado: (2023) -
Dual-perspective Cross Contrastive Learning in Graph Transformers
por: Yao, Zelin, et al.
Publicado: (2024) -
CLDG: Contrastive Learning on Dynamic Graphs
por: Xu, Yiming, et al.
Publicado: (2024) -
Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection
por: Leng, Yicheng, et al.
Publicado: (2025) -
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
por: Ma, Jiajun, et al.
Publicado: (2025)