65 citations · 117 across the 12 of their papers we have counts for
6 papers · 1 filter
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Yuxiang Ren, Hao Zhu, Jiawei Zhang +2
Fraud detection is extremely critical for e-commerce business. It is the intent of the companies to detect and prevent fraud as early as possible. Existing fraud detection methods…
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Yuxiang Ren, Lin Meng, Jiawei Zhang
Social network alignment has been an important research problem for social network analysis in recent years. With the identified shared users across networks, it will provide resea…
Heterogeneous Deep Graph Infomax
Yuxiang Ren, Bo Liu, Chao Huang +3
Graph representation learning is to learn universal node representations that preserve both node attributes and structural information. The derived node representations can be used…
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
For various optimization methods, gradient descent-based algorithms can achieve outstanding performance and have been widely used in various tasks. Among those commonly used algori…
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization
Jiyang Bai, Yuxiang Ren, Jiawei Zhang
Optimization algorithms with momentum, e.g., (ADAM), have been widely used for building deep learning models due to the faster convergence rates compared with stochastic gradient d…
Meta Diagram based Active Social Networks Alignment
Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
Network alignment aims at inferring a set of anchor links matching the shared entities between different information networks, which has become a prerequisite step for effective fu…