MetaSieve: Faster Relational Deep Learning through SQL-Based Metapath Selection
This paper presents MetaSieve, a metapath selection layer that determines which metapaths to retain and which to prune, and shows that MetaSieve consistently reduces per-epoch training time by large margins while maintaining and often improving accuracy.
Fahim Shahriar Khan, Ashraf Aboulnaga
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