AWhat changed
Defined a composable graph-network block with edge/node/global attributes, learned updates and permutation-invariant aggregations, unifying structured neural reasoning interfaces.
Scientific scope
Defined a composable graph-network block with edge/node/global attributes, learned updates and permutation-invariant aggregations, unifying structured neural reasoning interfaces. Part review/position paper, part formal interface synthesis; predecessors retain their inventions. Relational inductive bias supports structured modeling but does not prove universal compositional generalization, exact physical laws or human-level reasoning. Original27named front controls, not later GraphNets library maintainers.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Part review/position paper, part formal interface synthesis; predecessors retain their inventions. Relational inductive bias supports structured modeling but does not prove universal compositional generalization, exact physical laws or human-level reasoning. Original27named front controls, not later GraphNets library maintainers.
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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