2 papers
cs.LG2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
Peng Yuan, Peng Tang
Graph Neural Networks (GNNs) have emerged as powerful tools for analyzing and learning representations from graph-structured data. A crucial prerequisite for the outstanding perfor…
cs.IR2024
Amplify Graph Learning for Recommendation via Sparsity Completion
Peng Yuan, Haojie Li, Minying Fang +3
Graph learning models have been widely deployed in collaborative filtering (CF) based recommendation systems. Due to the issue of data sparsity, the graph structure of the original…