Automated Graph Learning via Population Based Self-Tuning GCN Owing to the remarkable capability of extracting effective graph embeddings, graph convolutional network (GCN) and its variants have been successfully applied to a broad range of tasks, such as node classification, link prediction, and ...
Predicting the likelihood of these patients developing specific diseases in the future based on their current health status and age factors is a crucial task in multimorbidity research.We propose an algorithm, CE-GCN, which integrates age sequence and embeds Graph Convolutional Network (GCN) into ...
The population-based centrality weight proposed in this study was applied to two types of deep learning models that are effective for predicting hourly PM2.5 at the individual district level: a hybrid model of CNN and GRU, and a hybrid model of GCN and GRU. The reason for these two models ...
2. Core Functions 主要是实体识别、关系识别与属性识别 2.1 Named Entity Recognition 输入句子,找到特定的实体和对应的类型 采用预训练的语言模型去编码句子并进行预测。 支持few-shot和多模态 2.2 Relation Extraction 提供了多种多样的模型 如CNN、RNN、GCN、Transformer、BERT。 在节省资源方面,采用了一种KnowPrompt...
Although both CNN and RNN can be used for aerobics movement recognition tasks based on human skeleton, the important information of the graphical structure of the human skeleton is neglected. With the rise of GCN, GCN has started to be combined with human skeletal aerobics movement recognition. ...
Search or jump to... Search code, repositories, users, issues, pull requests... Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your...
Design We first constructed a model of transformation based on the assumption that the minimal number of moles turning into cutaneous melanoma per year is roughly equivalent to the number of melanomas diagnosed each year with associated nevic components. The annual risk was then calculated as the ...
Agent-based models (ABMs) have been used to model the behaviour of individual mosquitoes and other aspects of malaria. In this paper, a conceptual entomological model of the population dynamics of Anopheles gambiae and the agent-based implementations der
In summary, we presented a new computational model of ASD variation that posits ASD as an extreme of a natural computational trade-off between accurate encoding and fast adaptation, based on variations along the spectrum of the dynamic range of neuronal popu- lation response. This trade-off ...
melano- pterus was examined using two datasets: the first based on estimates from a "single deme" (SID) in Northern Australia, the second based on a collection of samples taken from various locations in the Indo-Pacific, which we refer to as the "scatter" sample (SCD) (see Fig. 1,...