Yujie Fan

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 …

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs

2023 · arXiv (Cornell University)

Pre-training on large models is prevalent and emerging with the ever-growing user-generated content in many machine learning application categories. It has been recognized that learning contextual knowledge from the datasets depicting user-content interaction plays a …