Fujiao Ju — accepted AI-conference papers

2024

Graph Neural Networks with Soft Association between Topology and Attribute

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju +1

AAAI 2024technical

Graph Neural Networks (GNNs) have shown great performance in learning representations for graph-structured data. However, recent studies have found that the interference between topology and attribute can lead to distorted node representations. Most GNNs are designed based on homophily assumptions,…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗

2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis

Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin

CVPR 2016poster

The probabilistic principal component analysis (PPCA) is built upon a global linear mapping, with which it is insufficient to model complex data variation. This paper proposes a mixture of bilateral-projection probabilistic principal component analysis model (mixB2DPPCA) on 2D data. With multi-compo…

Cited by 5 PDF ↗Scholar ↗