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Jianhe Li and Suohai Fan
In recent years, graph neural networks (GNNs) have played an important role in graph representation learning and have successfully achieved excellent results in semi-supervised classification. However, these GNNs often neglect the global smoothing of the...
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Youngsun Jang, Kwanghee Won, Hyung-do Choi and Sung Y. Shin
This study compares the performance of graph convolutional neural network (GCN) models with conventional natural language processing (NLP) models for classifying scientific literature related to radio frequency electromagnetic field (RF-EMF). Specificall...
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Bhushan Zope, Sashikala Mishra, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha and Ranjeet Vasant Bidwe
Question Answer System (QAS) automatically answers the question asked in natural language. Due to the varying dimensions and approaches that are available, QAS has a very diverse solution space, and a proper bibliometric study is required to paint the en...
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Michael Hopwood, Phuong Pho and Alexander V. Mantzaris
Sampling is an important step in the machine learning process because it prioritizes samples that help the model best summarize the important concepts required for the task at hand. The process of determining the best sampling method has been rarely stud...
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Jie Yu, Yaliu Li, Chenle Pan and Junwei Wang
Classification of resource can help us effectively reduce the work of filtering massive academic resources, such as selecting relevant papers and focusing on the latest research by scholars in the same field. However, existing graph neural networks do no...
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Petro Lizunov,Andrii Biloshchytskyi,Alexander Kuchansky,Yurii Andrashko,Svitlana Biloshchytska
Pág. 21 - 28
The study considers the possibilities of using latent semantic analysis for the tasks of identifying scientific subject spaces and evaluating the completeness of covering the results of dissertation research by science degree seekers.A probabilistic them...
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Petro Lizunov,Andrii Biloshchytskyi,Alexander Kuchansky,Yurii Andrashko,Svitlana Biloshchytska
Pág. 6 - 14
For the problem of formation of project teams, in particular, scientific research project groups, there was proposed the comprehensive method, which consists of the two-stage method for clustering the graph of citation of scientists» publications and the...
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Rui Hong, Chenglang Xiang, Hui Liu, Adam Glowacz and Wei Pan
This paper aims to explore the current status, research trends and hotspots related to the field of infrared detection technology through bibliometric analysis and visualization techniques based on the Science Citation Index Expanded (SCIE) and Social Sc...
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