Search Results for author: Yucai Fan

Found 2 papers, 0 papers with code

GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs

no code implementations11 Oct 2021 Yucai Fan, Yuhang Yao, Carlee Joe-Wong

These works, however, do not fully address the challenge of flexibly assigning different importance to snapshots of the graph at different times, which depending on the graph dynamics may have more or less predictive power on the labels.

Classification Graph Representation Learning +1

Reconstructing Actions To Explain Deep Reinforcement Learning

no code implementations17 Sep 2020 Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta

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 challenges when applied to deep Reinforcement Learning (RL). We propose a new approach to explaining deep RL actions by defining a class of \emph{action reconstruction} functions that mimic the behavior of a network in deep RL.

Atari Games Feature Importance +1

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