An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG
S Zhao, G Dai, J Li, X Zhu, X Huang, Y Li, M Tan… - NPJ Digital …, 2024 - nature.com
Parkinson's disease (PD) exhibits significant clinical heterogeneity, presenting challenges in
the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning …
the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning …
Hierarchical multi-marginal optimal transport for network alignment
Finding node correspondence across networks, namely multi-network alignment, is an
essential prerequisite for joint learning on multiple networks. Despite great success in …
essential prerequisite for joint learning on multiple networks. Despite great success in …
Dual Graph Convolutional Networks for Social Network Alignment
X Guo, Y Liu, D Gong, F Liu - IEEE Transactions on Big Data, 2024 - ieeexplore.ieee.org
Social network alignment aims to discover the potential correspondence between users
across different social platforms. Recent advances in graph representation learning have …
across different social platforms. Recent advances in graph representation learning have …
Combining Optimal Transport and Embedding-Based Approaches for More Expressiveness in Unsupervised Graph Alignment
Unsupervised graph alignment finds the one-to-one node correspondence between a pair of
attributed graphs by only exploiting graph structure and node features. One category of …
attributed graphs by only exploiting graph structure and node features. One category of …
融合多重特征的噪声网络对齐方法
咸宁， 范意兴， 廉涛， 郭嘉丰 - 《 山东大学学报(理学版)》, 2024 - lxbwk.njournal.sdu.edu.cn
针对网络对齐任务中网络结构差异大和锚节点对噪声大的问题ꎬ 提出一种基于多轮迭代的网络
对齐方法ꎮ 该方法在每轮迭代时使用多种启发式方法计算不同维度的节点特征ꎬ …
对齐方法ꎮ 该方法在每轮迭代时使用多种启发式方法计算不同维度的节点特征ꎬ …
Machine Learning for Graph Algorithms and Representations
A Gunby-Mann - 2024 - digitalcommons.dartmouth.edu
This thesis explores a variety of common graph theoretic problems from a machine learning
perspective. The topics covered include fundamental network problems such as distance …
perspective. The topics covered include fundamental network problems such as distance …