IEEE

Integrating Item-Item Semantic Similarity with Item Sequence in Graph Neural Network for Collaborative Filtering

Abstract: Recent graph neural network-based collaborative filtering models are capable of representing complex user-item interaction information, which is crucial when datasets exhibit high sparsity.
IEEE

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...