2 papers
cs.LG2024
Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence
Yen-Che Hsiao, Rongting Yue, Abhishek Dutta
This paper provides a comprehensive and detailed derivation of the backpropagation algorithm for graph convolutional neural networks using matrix calculus. The derivation is extend…
cs.LG2024
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent
Yen-Che Hsiao, Abhishek Dutta
This paper presents a novel coordinate descent algorithm leveraging a combination of one-directional line search and gradient information for parameter updates for a squared error…