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Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association

机译：图表卷积网络使用消息传递和多源相似特征来预测Circrna-疾病协会

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Thosini Bamunu Mudiyanselage; Xiujuan Lei; Nipuna Senanayake; Yanqing Zhang; Yi Pan;
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年度 2020
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1. An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network [J] . Bioinformatics . 2020,第13期

机译：基于多源信息的一种有效方法，以预测使用深卷积神经网络预测循环疾病关联
2. GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm [J] . Lei Wang, Zhu-Hong You, Yang-Ming Li, PLoS Computational Biology . 2020,第5期

机译：GCNCDA：一种基于图卷积网络算法预测CircRNA疾病关联的新方法
3. Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization [J] . Do Tien Huu, Nguyen Duc Minh, Bekoulis Giannis, Expert systems with applications . 2021,第Jula期

机译：基于节点转换概率的消息传递和Dropnode正规化的图表卷积神经网络
4. Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association [C] . Thosini Bamunu Mudiyanselage, Xiujuan Lei, Nipuna Senanayake, IEEE International Conference on Bioinformatics and Biomedicine . 2020

机译：图表卷积网络使用消息传递和多源相似特征来预测Circrna-疾病协会
5. Using Graph Convolutional Network and Message Passing Neural Networks for Solving Unit Commitment and Economic Dispatch in a Day Ahead Energy Trading Market Based on ERCOT Nodal Model [D] . Gaikwad, Pradnya Sanjay. 2020

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6. GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm [O] . Lei Wang, Zhu-Hong You, Yang-Ming Li, 2020

机译：GCNCDA：一种基于图卷积网络算法的circRNA-疾病关联预测新方法
7. GCNCDA: A New Method for Predicting CircRNA-Disease Associations Based on Graph Convolutional Network Algorithm [O] . Lei Wang, Zhu-Hong You, Yang-Ming Li, 2019

机译：GCNCDA：一种基于图卷积网络算法预测CircRNA疾病关联的新方法

Graph Convolution Networks Using Message Passing and Multi-Source Similarity Features for Predicting circRNA-Disease Association

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