ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network

no code implementations • 10 Dec 2023 • Ruyue Liu, Rong Yin, Yong liu, Weiping Wang

Graph Comparative Learning (GCL) is a self-supervised method that combines the advantages of Graph Convolutional Networks (GCNs) and comparative learning, making it promising for learning node representations.

Node Classification

Multi-Class Learning: From Theory to Algorithm

no code implementations • NeurIPS 2018 • Jian Li, Yong liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

In this paper, we study the generalization performance of multi-class classification and obtain a shaper data-dependent generalization error bound with fast convergence rate, substantially improving the state-of-art bounds in the existing data-dependent generalization analysis.

Classification General Classification +1