Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Leng, Yicheng, Anwar, Syed Muhammad, Rekik, Islem, He, Sen, Lee, Eung-Joo |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
par: Singh, Pragya, et autres
Publié: (2024)
par: Singh, Pragya, et autres
Publié: (2024)
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
par: Chen, Geng, et autres
Publié: (2024)
par: Chen, Geng, et autres
Publié: (2024)
Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
par: Soussia, Mayssa, et autres
Publié: (2025)
par: Soussia, Mayssa, et autres
Publié: (2025)
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
par: Rekik, Islem
Publié: (2026)
par: Rekik, Islem
Publié: (2026)
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
par: Luo, Yitong, et autres
Publié: (2025)
par: Luo, Yitong, et autres
Publié: (2025)
X-Node: Self-Explanation is All We Need
par: Sengupta, Prajit, et autres
Publié: (2025)
par: Sengupta, Prajit, et autres
Publié: (2025)
Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity
par: Singh, Pragya, et autres
Publié: (2025)
par: Singh, Pragya, et autres
Publié: (2025)
DeltaGNN: Graph Neural Network with Information Flow Control
par: Mancini, Kevin, et autres
Publié: (2025)
par: Mancini, Kevin, et autres
Publié: (2025)
HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
par: Joshi, Devvrat, et autres
Publié: (2026)
par: Joshi, Devvrat, et autres
Publié: (2026)
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
par: Sengupta, Prajit, et autres
Publié: (2025)
par: Sengupta, Prajit, et autres
Publié: (2025)
GNN-based Unified Deep Learning
par: Pala, Furkan, et autres
Publié: (2025)
par: Pala, Furkan, et autres
Publié: (2025)
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
par: Pala, Furkan, et autres
Publié: (2025)
par: Pala, Furkan, et autres
Publié: (2025)
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
par: Pistos, Michalis, et autres
Publié: (2024)
par: Pistos, Michalis, et autres
Publié: (2024)
NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
par: Joshi, Devvrat, et autres
Publié: (2025)
par: Joshi, Devvrat, et autres
Publié: (2025)
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
par: Idrissova, Shekhnaz, et autres
Publié: (2025)
par: Idrissova, Shekhnaz, et autres
Publié: (2025)
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
par: Hassani, Atefe, et autres
Publié: (2024)
par: Hassani, Atefe, et autres
Publié: (2024)
ViT-2SPN: Vision Transformer-based Dual-Stream Self-Supervised Pretraining Networks for Retinal OCT Classification
par: Saraei, Mohammadreza, et autres
Publié: (2025)
par: Saraei, Mohammadreza, et autres
Publié: (2025)
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
par: Soussia, Mayssa, et autres
Publié: (2025)
par: Soussia, Mayssa, et autres
Publié: (2025)
Reservoir-Based Graph Convolutional Networks
par: Soussia, Mayssa, et autres
Publié: (2026)
par: Soussia, Mayssa, et autres
Publié: (2026)
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking
par: Kim, Jisu, et autres
Publié: (2025)
par: Kim, Jisu, et autres
Publié: (2025)
Predicting Shape Development: a Riemannian Method
par: Türkseven, Doğa, et autres
Publié: (2022)
par: Türkseven, Doğa, et autres
Publié: (2022)
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph
par: Wei, Lu, et autres
Publié: (2024)
par: Wei, Lu, et autres
Publié: (2024)
Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
par: Choi, Jungwon, et autres
Publié: (2024)
par: Choi, Jungwon, et autres
Publié: (2024)
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
par: Mo, Shentong, et autres
Publié: (2024)
par: Mo, Shentong, et autres
Publié: (2024)
XAI-CLIP: ROI-Guided Perturbation Framework for Explainable Medical Image Segmentation in Multimodal Vision-Language Models
par: Alzubaidi, Thuraya, et autres
Publié: (2026)
par: Alzubaidi, Thuraya, et autres
Publié: (2026)
Understanding Self-supervised Contrastive Learning through Supervised Objectives
par: Lee, Byeongchan
Publié: (2025)
par: Lee, Byeongchan
Publié: (2025)
VolTA-3D: Self-Supervised Learning for Brain MRI using 3D Volumetric Token Alignment
par: Makawana, Amy, et autres
Publié: (2026)
par: Makawana, Amy, et autres
Publié: (2026)
Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
par: Zhu, ZhiTeng, et autres
Publié: (2025)
par: Zhu, ZhiTeng, et autres
Publié: (2025)
An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques
par: Pappula, Medha, et autres
Publié: (2024)
par: Pappula, Medha, et autres
Publié: (2024)
Adaptive Negative Scheduling for Graph Contrastive Learning
par: Ali, Adnan, et autres
Publié: (2026)
par: Ali, Adnan, et autres
Publié: (2026)
Automated Hazard Detection in Construction Sites Using Large Language and Vision-Language Models
par: Sahraoui, Islem
Publié: (2025)
par: Sahraoui, Islem
Publié: (2025)
Language-Assisted Feature Transformation for Anomaly Detection
par: Yun, EungGu, et autres
Publié: (2025)
par: Yun, EungGu, et autres
Publié: (2025)
Improving Autism Detection with Multimodal Behavioral Analysis
par: Saakyan, William, et autres
Publié: (2025)
par: Saakyan, William, et autres
Publié: (2025)
REVISION DER GATTUNG CARDUUS (COMPOSITAE) TEIL II *)
par: Kazmi, Syed Muhammad Anwar
Publié: (1963)
par: Kazmi, Syed Muhammad Anwar
Publié: (1963)
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
par: Asad, Muhammad Hamza, et autres
Publié: (2023)
par: Asad, Muhammad Hamza, et autres
Publié: (2023)
Self-supervised Transformation Learning for Equivariant Representations
par: Yu, Jaemyung, et autres
Publié: (2025)
par: Yu, Jaemyung, et autres
Publié: (2025)
Slimmable Networks for Contrastive Self-supervised Learning
par: Zhao, Shuai, et autres
Publié: (2022)
par: Zhao, Shuai, et autres
Publié: (2022)
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
par: Khowaja, Sunder Ali, et autres
Publié: (2023)
par: Khowaja, Sunder Ali, et autres
Publié: (2023)
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection
par: Darban, Zahra Zamanzadeh, et autres
Publié: (2023)
par: Darban, Zahra Zamanzadeh, et autres
Publié: (2023)
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
par: Shou, Yuntao, et autres
Publié: (2024)
par: Shou, Yuntao, et autres
Publié: (2024)
Documents similaires
-
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
par: Singh, Pragya, et autres
Publié: (2024) -
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
par: Chen, Geng, et autres
Publié: (2024) -
Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
par: Soussia, Mayssa, et autres
Publié: (2025) -
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
par: Rekik, Islem
Publié: (2026) -
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
par: Luo, Yitong, et autres
Publié: (2025)