Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. However, when training from scratch on small datasets, there is still a significant performance gap ...

High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

When facing sparse user–item interaction data, recommendation systems often struggle to learn high-quality representations, which in turn affects the recommendation performance. To address this issue, ...