IEEE

Landmark-Based Adaptive Graph Convolutional Network for Facial Expression Recognition

Abstract: Facial expression recognition (FER) is an important task in human emotion analysis. Though researchers have made great progress in FER, the semantic information lying in facial landmarks has ...
GitHub

Trajectory–User Linking via Heterogeneous Preference Graph and Dual-Encoder Mutual ...

(1) Duration (Days): This represents the total time span of the dataset, calculated as the number of days between the first and the last check-in recorded in the entire dataset. For instance, the ...
IEEE

Encoder-Enhanced Graph Convolutional Network for Cross-Domain Mechanical Fault Diagnosis

Abstract: Graph Convolutional Network (GCN) has been widely applied in mechanical fault diagnosis due to its ability to extract features from data in non-Euclidean spaces. However, the local ...
Microsoft

Refined graph encoder embedding via self-training and latent community recovery

This paper introduces a refined graph encoder embedding method, enhancing the original graph encoder embedding through linear transformation, self-training, and hidden community recovery within ...