1 citations · 2 across the 6 of their papers we have counts for
6 papers
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction
Shuanglong Yao, Dechang Pi, Junfu Chen +2
The task of link prediction aims to solve the problem of incomplete knowledge caused by the difficulty of collecting facts from the real world. GCNs-based models are widely applied…
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu, Jie Cao, Dechang Pi
Social influence prediction has permeated many domains, including marketing, behavior prediction, recommendation systems, and more. However, traditional methods of predicting socia…
Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images
Junfu Chen, Sirui Li, Dechang Pi
Working memory (WM), denoting the information temporally stored in the mind, is a fundamental research topic in the field of human cognition. Electroencephalograph (EEG), which can…
Research on Hopf Bifurcation and Stability of Heterogeneous Lorenz System with Single Time Delay
Erxi Zhu, Min Xu, Dechang Pi
Time-delay chaotic systems refer to the hyperchaotic systems with multiple positive Lyapunov exponents. It is characterized by more complex dynamics and a wider range of applicatio…
piSAAC: Extended notion of SAAC feature selection novel method for discrimination of Enzymes model using different machine learning algorithm
Zaheer Ullah Khan, Dechang Pi, Izhar Ahmed Khan +3
Enzymes and proteins are live driven biochemicals, which has a dramatic impact over the environment, in which it is active. So, therefore, it is highly looked-for to build such a r…
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Chenglong Dai, Jia Wu, Dechang Pi +1
Brain Electroencephalography (EEG) classification is widely applied to analyze cerebral diseases in recent years. Unfortunately, invalid/noisy EEGs degrade the diagnosis performanc…