Transferable knowledge graphs with executable learned operators for algorithm design

arXiv:2603.27922 · cs.AI, cs.IR · Submitted 2026-03-30 · Read on arXiv

cs.AI, cs.IR

Submitted: 2026-03-30

Updated: 2026-09-18

Comments: preprint

Code: https://github.com/camilochs/geakg

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Knowledge Graph — 89× in this paper · explained in 7 episodes
• Knowledge graphs — 70× in this paper · explained in 2 episodes
• Generative Executable Algorithm Knowledge Graphs — 52× in this paper
• Benchmark — 35× in this paper · explained in 2 episodes
• Procedural Knowledge — 35× in this paper · explained in 2 episodes
• Accuracy — 27× in this paper · explained in 1 episode
• Regularization — 25× in this paper · explained in 3 episodes
• Ontology — 22× in this paper · explained in 2 episodes
• Combinatorial Optimization — 16× in this paper · explained in 2 episodes
• Neural Architecture Search — 15× in this paper
• Ablation — 13× in this paper · explained in 1 episode
• Provenance — 9× in this paper · explained in 4 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• Trace — 7× in this paper · explained in 2 episodes
• Iterative Refinement — 6× in this paper · explained in 3 episodes
• Transferability — 6× in this paper · explained in 4 episodes
• Abstraction — 5× in this paper · explained in 1 episode
• Adam — 5× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Bayesian Optimization — 4× in this paper · explained in 3 episodes
• Iterated Local Search — 4× in this paper
• Quadratic Assignment Problem — 4× in this paper
• Traveling Salesman Problem — 4× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Job Shop Scheduling Problem — 3× in this paper
• Longest Processing Time — 3× in this paper
• Min-Max Ant System — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• Ant Colony Optimization — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Distribution Shift — 2× in this paper · explained in 6 episodes
• Shortest Processing Time — 2× in this paper
• Small Language Model — 2× in this paper
• Activation Function — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Online Adaptation — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Resource Description Framework Schema — 1× in this paper
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Task Planning — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• A Neurosymbolic Approach to Natural Language Formalization and Verification
• irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection