Ti-DC-GNN: Incorporating time-interval dual graphs for recommender systems
Recommender systems are essential for personalized content delivery and have become
increasingly popular recently. However, traditional recommender systems are limited in their …
increasingly popular recently. However, traditional recommender systems are limited in their …
A representation learning model based on stochastic perturbation and homophily constraint
Q Li, M Jiang - Knowledge and Information Systems, 2023 - Springer
The network representation learning task of fusing node multi-dimensional classification
information aims to effectively combine node multi-dimensional classification information …
information aims to effectively combine node multi-dimensional classification information …