EDEN uses structural entropy to build a hierarchical knowledge tree over digraphs and distills parent-to-child knowledge to boost graph-neural-network accuracy, though the mutual-information lower bound it relies on is invalid.
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Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
EDEN uses structural entropy to build a hierarchical knowledge tree over digraphs and distills parent-to-child knowledge to boost graph-neural-network accuracy, though the mutual-information lower bound it relies on is invalid.