A two-level GNN with temperature sampling inside a Generate-and-Verify loop synthesizes enforceable, system-schedulable JLDs for cause-effect chains faster and more successfully than the prior greedy heuristic.
Synthesizing job-level dependencies for automotive multi-rate effect chains
1 Pith paper cite this work, alongside 82 external citations. Polarity classification is still indexing.
1
Pith paper citing it
82
external citations · OpenAlex
fields
cs.SE 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
A two-level GNN with temperature sampling inside a Generate-and-Verify loop synthesizes enforceable, system-schedulable JLDs for cause-effect chains faster and more successfully than the prior greedy heuristic.