most citedDeep Insights into Noisy Pseudo Labeling on Graph Data

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 2 cited

Heterophilic Graph Neural Networks Optimization with Causal Message-passing

Botao Wang, Jia Li, Heng Chang +2

In this work, we discover that causal inference provides a promising approach to capture heterophilic message-passing in Graph Neural Network (GNN). By leveraging cause-effect anal…

cs.LG2023★ 2 cited

Deep Insights into Noisy Pseudo Labeling on Graph Data

Botao Wang, Jia Li, Yang Liu +4

Pseudo labeling (PL) is a wide-applied strategy to enlarge the labeled dataset by self-annotating the potential samples during the training process. Several works have shown that i…