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Explaining Graph Neural Networks via Structure-aware Interaction Index
In this project, we aim to explore graph-theoretic-based attribution scores for explaining graph neural networks (GNNs). Prior work (GStarX, SubgraphX, SAME) has successfully applied solutions such as Shapley values and HN values to explain GNNs. However, several limitations remain:
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Understanding Blockchain - Build a blockchain application from scratch in Python
I am not a blockchain expert. I only studied blockchain for a semester. But I know the most effective way to learn something is to build it from scratch. I will have chances to deal with the issues during building it. I am happy to share my view on the process of building a fully functional application: A Simple Blockchain-based Voting System (video demo). Open source is available here.
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Welcome to Ngoc's Blog
Trying to write something down.