Cross-domain Sequential Recommendation (CSR) which leverages user sequen...
Despite the impressive performance of recent unbiased Scene Graph Genera...
Multi-view clustering (MVC), which effectively fuses information from
mu...
Prior studies generally focus on software vulnerability detection and ha...
With the widespread application in industrial manufacturing and commerci...
Masked graph autoencoder (MGAE) has emerged as a promising self-supervis...
Prior studies have demonstrated the effectiveness of Deep Learning (DL) ...
Incorporating knowledge graphs (KGs) as side information in recommendati...
Nuclear norm maximization has shown the power to enhance the transferabi...
Traffic classification associates packet streams with known application
...
Recently, deep Convolutional Neural Networks (CNNs) can achieve human-le...
Video abnormal event detection (VAD) is a vital semi-supervised task tha...
The incremental aggregated gradient algorithm is popular in network
opti...
Decentralized stochastic gradient method emerges as a promising solution...