IEEE

3D Human Pose Estimation with Two-Step MixedGraph Convolution Transformer Encoder

Abstract: In 3D human pose estimation, human joints typically exhibit continuity and interdependence during motion, suggesting that joint velocities and their positional relationships can offer ...
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 ...
GitHub

ariellubonja/parallel-graph-encoder-embedding-ligra

Implementation of Graph Encoder Embedding in the Ligra framework. This speeds up the original implementation by 10-100x, making Graph Encoder Embedding a very useful tool for learning on Graphs. It ...
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 ...
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 ...