1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
Yucai Fan, Yuhang Yao, Carlee Joe-Wong
Graph Convolutional Networks (GCNs) are a popular method from graph representation learning that have proved effective for tasks like node classification tasks. Although typical GC…
cs.AI2020
Reconstructing Actions To Explain Deep Reinforcement Learning
Xuan Chen, Zifan Wang, Yucai Fan +4
Feature attribution has been a foundational building block for explaining the input feature importance in supervised learning with Deep Neural Network (DNNs), but face new challeng…