6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2024
GrassNet: State Space Model Meets Graph Neural Network
Gongpei Zhao, Tao Wang, Yi Jin +3
Designing spectral convolutional networks is a formidable task in graph learning. In traditional spectral graph neural networks (GNNs), polynomial-based methods are commonly used t…
cs.LG2024★ 1 cited
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
Gongpei Zhao, Tao Wang, Congyan Lang +3
Graph neural networks are recognized for their strong performance across various applications, with the backpropagation algorithm playing a central role in the development of most…
cs.CV2023★ 6 cited
The Cascaded Forward Algorithm for Neural Network Training
Gongpei Zhao, Tao Wang, Yidong Li +3
Backpropagation algorithm has been widely used as a mainstream learning procedure for neural networks in the past decade, and has played a significant role in the development of de…