IEEE

An End-to-end Framework for Graph Clustering: Semantic Fusion of Graph Convolutional Network and Variational Auto-encoder

Abstract: Attribute graph clustering is a fundamental and challenging task in graph data mining, requiring the adequate utilization of both node attributes and graph structure. Recently, a series of ...
GitHub

Physics-Informed Graph Attention Network with Temporal Convolutional Encoder for Multi-Node Distribution Grid State Forecasting under Solar PV Uncertainty

There's not enough diversity for attention to learn meaningful patterns Uniform averaging is near-optimal when all neighbors matter equally Attention adds noise rather than extracting signal Despite ...
IEEE

Video-Based Fall Detection Based on A Spatio-temporal Graph Convolutional Auto-Encoder

Abstract: To achieve video-based fall detection, a spatiotemporal graph convolutional auto-encoder was designed based on human skeleton information and principles of currently available auto-encoders ...