Graph Partial Label Learning with Potential Cause Discovering

no code implementations • 18 Mar 2024 • Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng

PLL is a critical weakly supervised learning problem, where each training instance is associated with a set of candidate labels, including both the true label and additional noisy labels.

Graph Representation Learning Partial Label Learning +1

Rethinking Causal Relationships Learning in Graph Neural Networks

1 code implementation • 15 Dec 2023 • Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu

In order to comprehensively analyze various GNN models from a causal learning perspective, we constructed an artificially synthesized dataset with known and controllable causal relationships between data and labels.