SD-GWM is a structural graph world model that wraps declarative self and neighbor dynamics with a bounded residual and a hard projection, preserving constraints while staying competitive with neural baselines in small-sample forecasting.
Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, and Koray Kavukcuoglu
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration
SD-GWM is a structural graph world model that wraps declarative self and neighbor dynamics with a bounded residual and a hard projection, preserving constraints while staying competitive with neural baselines in small-sample forecasting.