1 citations · 1 across the 7 of their papers we have counts for
4 papers · 1 filter
Order-preserving pattern mining with forgetting mechanism
Yan Li, Chenyu Ma, Rong Gao +4
Order-preserving pattern (OPP) mining is a type of sequential pattern mining method in which a group of ranks of time series is used to represent an OPP. This approach can discover…
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
Zhao Li, Yang Liu, Chuan Zhou +4
The concept of the sharing economy has gained broad recognition, and within this context, Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite t…
: Synergistic Boosting of Structure and Representation for Deep Graph Clustering
Shifei Ding, Benyu Wu, Xiao Xu +2
Employing graph neural networks (GNNs) for graph clustering has shown promising results in deep graph clustering. However, existing methods disregard the reciprocal relationship be…
Generative-Contrastive Heterogeneous Graph Neural Network
Yu Wang, Lei Sang, Yi Zhang +2
Heterogeneous Graphs (HGs) effectively model complex relationships in the real world through multi-type nodes and edges. In recent years, inspired by self-supervised learning (SSL)…