Unsupervised multi-view graph representation learning with dual weight-net
Unsupervised multi-view graph representation learning (UMGRL) aims to capture the
complex relationships in the multi-view graph without human annotations, so it has been …
complex relationships in the multi-view graph without human annotations, so it has been …
Efficient self-supervised heterogeneous graph representation learning with reconstruction
Heterogeneous graph representation learning (HGRL), as one of powerful techniques to
process the heterogeneous graph data, has shown superior performance and attracted …
process the heterogeneous graph data, has shown superior performance and attracted …
Krait: A Backdoor Attack Against Graph Prompt Tuning
Y Song, R Singh, B Palanisamy - arXiv preprint arXiv:2407.13068, 2024 - arxiv.org
Graph prompt tuning has emerged as a promising paradigm to effectively transfer general
graph knowledge from pre-trained models to various downstream tasks, particularly in few …
graph knowledge from pre-trained models to various downstream tasks, particularly in few …
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression
K Wu, H Wang, F Feng, T Liu, Y Sun - Neural Networks, 2025 - Elsevier
The diagnosis of Alzheimer's disease (AD) based on visual features-informed by clinical
knowledge has achieved excellent results. Our study endeavors to present an innovative …
knowledge has achieved excellent results. Our study endeavors to present an innovative …
Generative Self-Supervised Learning for Medical Image Classification
This paper introduces the generative self-supervised learning method in medical image
recognition. We use the generative models in two main ways: 1) creating diversified training …
recognition. We use the generative models in two main ways: 1) creating diversified training …
[HTML][HTML] A Health Monitoring Model for Circulation Water Pumps in a Nuclear Power Plant Based on Graph Neural Network Observer
J Gao, L Ma, C Qing, T Zhao, Z Wang, J Geng, Y Li - Sensors, 2024 - mdpi.com
The health monitoring of CRF (circulation water) pumps is essential for prognostics and
management in nuclear power plants. However, the operational status of CRF pumps can …
management in nuclear power plants. However, the operational status of CRF pumps can …
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models
Understanding brain disorders is crucial for accurate clinical diagnosis and treatment.
Recent advances in Multimodal Large Language Models (MLLMs) offer a promising …
Recent advances in Multimodal Large Language Models (MLLMs) offer a promising …
[引用][C] Editorial for Special Issue on Foundation Models for Medical Image Analysis
X Wang, D Wang, X Li, J Rittscher… - Medical image …, 2024 - pubmed.ncbi.nlm.nih.gov
Editorial for Special Issue on Foundation Models for Medical Image Analysis Editorial for
Special Issue on Foundation Models for Medical Image Analysis Med Image Anal. 2024 Nov …
Special Issue on Foundation Models for Medical Image Analysis Med Image Anal. 2024 Nov …