2 papers
cs.LG2024
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
Zhen Hao Wong, Hansi Yang, Xiaoyi Fu +1
Heterogeneous Graph Neural Networks (HGNNs) are a class of deep learning models designed specifically for heterogeneous graphs, which are graphs that contain different types of nod…
cs.LG2023
Ensemble Learning for Graph Neural Networks
Zhen Hao Wong, Ling Yue, Quanming Yao
Graph Neural Networks (GNNs) have shown success in various fields for learning from graph-structured data. This paper investigates the application of ensemble learning techniques t…