Linghe Kong

GNN-Detective: Efficient Weakly Correlated Neighbors Distinguishing and Processing in GNN

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

In the field of various downstream tasks of graph learning, graph neural networks (GNNs) have achieved the state-of-the-art (SOTA) performance benefits from its special propagation mechanism. The propagation mechanism aggregates attributes from neighbor nodes to …

<i>MHRR</i>: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking

2023 · IEEE Transactions on Services Computing

The exponential growth of Massive Open Online Courses (MOOCs) surges the needs of advanced models for personalized Online Education Services (OES). Existing solutions successfully recommend MOOCs courses via deep learning models, they however generate weak …