Abstract: Graph Convolutional Network (GCN) has been widely applied in mechanical fault diagnosis due to its ability to extract features from data in non-Euclidean spaces. However, the local ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.

Abstract: Attribute graph clustering is a fundamental and challenging task in graph data mining, requiring the adequate utilization of both node attributes and graph structure. Recently, a series of ...

The repository of GALG, a graph-based artificial intelligence approach to link addresses for user tracking on TLS encrypted traffic. The work has been accepted as ECML/PKDD 2022 accepted Paper.

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...

ABSTRACT: Aspect-oriented sentiment analysis is a meticulous sentiment analysis task that aims to analyse the sentiment polarity of specific aspects. Most of the current research builds graph ...

School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of ...