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Provided a theoretical framework for analysis of GNNs' expressiveness in recommendation. Proposed a new metric to evaluate GNNs' capacity in capturing node closeness.
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This page is a summary of: How Expressive are Graph Neural Networks in Recommendation?, October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3583780.3614917.
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