Mingxuan Ju

Self-Supervised Graph Structure Refinement for Graph Neural Networks

2022 · arXiv (Cornell University)

Graph structure learning (GSL), which aims to learn the adjacency matrix for graph neural networks (GNNs), has shown great potential in boosting the performance of GNNs. Most existing GSL works apply a joint learning framework …

How Does Message Passing Improve Collaborative Filtering?

2024 · arXiv (Cornell University)

Collaborative filtering (CF) has exhibited prominent results for recommender systems and been broadly utilized for real-world applications. A branch of research enhances CF methods by message passing used in graph neural networks, due to its …