Zhichun Guo

Boosting Graph Neural Networks via Adaptive Knowledge Distillation

2022 · arXiv (Cornell University)

Graph neural networks (GNNs) have shown remarkable performance on diverse graph mining tasks. Although different GNNs can be unified as the same message passing framework, they learn complementary knowledge from the same graph. Knowledge distillation …

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 …