1 citations · 1 across the 6 of their papers we have counts for
6 papers
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs
Ying Wang, Ye Yuan, Xin Luo
An undirected weighted graph (UWG) is frequently adopted to describe the interactions among a solo set of nodes from real applications, such as the user contact frequency from a so…
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model
Jinli Li, Ye Yuan
High-dimensional and incomplete (HDI) data holds tremendous interactive information in various industrial applications. A latent factor (LF) model is remarkably effective in extrac…
Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization
Jiufang Chen, Ye Yuan
Stochastic gradient descent (SGD) algorithm is an effective learning strategy to build a latent factor analysis (LFA) model on a high-dimensional and incomplete (HDI) matrix. A par…
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks
Zhou Yue, Liu ZhiGang, Yuan Ye
With the development of blockchain technology, the cryptocurrency based on blockchain technology is becoming more and more popular. This gave birth to a huge cryptocurrency transac…
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis
Ye Yuan, Xin Luo
A high-dimensional and incomplete (HDI) matrix frequently appears in various big-data-related applications, which demonstrates the inherently non-negative interactions among numero…
Adaptive Divergence-based Non-negative Latent Factor Analysis
Ye Yuan, Guangxiao Yuan, Renfang Wang +1
High-Dimensional and Incomplete (HDI) data are frequently found in various industrial applications with complex interactions among numerous nodes, which are commonly non-negative f…