Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks

1 code implementation • 29 Feb 2024 • Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao

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 nodes and edges.

Ensemble Learning for Graph Neural Networks

2 code implementations • 22 Oct 2023 • Zhen Hao Wong, Ling Yue, Quanming Yao

Graph Neural Networks (GNNs) have shown success in various fields for learning from graph-structured data.

Ensemble Learning