AWhat changed
Related neighborhood-aggregation expressivity to the Weisfeiler–Lehman test and developed sum/MLP graph-isomorphism networks with injectivity-based representation conditions.
Scientific scope
Related neighborhood-aggregation expressivity to the Weisfeiler–Lehman test and developed sum/MLP graph-isomorphism networks with injectivity-based representation conditions. One2018preprint/2019conference work, not two inventions. Final v3adds explicit center weighting(1+epsilon) and bounded-size/countable-feature multiset hypotheses; v1's unweighted center sum must not be substituted. WL equivalence is conditional on injective updates/readout and sufficient layers, not general graph-isomorphism resolution or guaranteed exact trained finite-neural realization. Source theorem not independently audited.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One2018preprint/2019conference work, not two inventions. Final v3adds explicit center weighting(1+epsilon) and bounded-size/countable-feature multiset hypotheses; v1's unweighted center sum must not be substituted. WL equivalence is conditional on injective updates/readout and sufficient layers, not general graph-isomorphism resolution or guaranteed exact trained finite-neural realization. Source theorem not independently audited.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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