IEEE

MCGC-Net: Multi-scale Controllable Graph Convolutional Network on Music Emotion Recognition

Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...
GitHub

Trajectory–User Linking via Heterogeneous Preference Graph and Dual-Encoder Mutual Distillation (HPG-DEMD)

(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

Wi-Fi-Based Human Fall and Activity Recognition Using Transformer-Based Encoder–Decoder and Graph Neural Networks

Abstract: Human pose estimation and action recognition have received attention due to their critical roles in healthcare monitoring, rehabilitation, and assistive technologies. In this study, we ...
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 ...