2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SI2022
A Novel Exploration of Diffusion Process based on Multi-types Galton-Watson Forests
Yanjiao Zhu, Qilin Li, Wanquan Liu +2
Diffusion is a commonly used technique for spreading information from point to point on a graph. The rationale behind diffusion is not clear. And the multi-types Galton-Watson fore…
cs.LG2020
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss
Qilin Li, Wanquan Liu, Ling Li
Existing graph convolutional networks focus on the neighborhood aggregation scheme. When applied to semi-supervised learning, they often suffer from the overfitting problem as the…
cs.CV2019★ 2 cited
Semi-supervised Learning on Graph with an Alternating Diffusion Process
Qilin Li, Senjian An, Ling Li +1
Graph-based semi-supervised learning usually involves two separate stages, constructing an affinity graph and then propagating labels for transductive inference on the graph. It is…