Network World Models as Environments for Algorithm Design on Complex Systems
cs.AI
Submitted: 2026-10-01
Updated: 2026-10-01
Comments: 46 pages, 7 figures, 17 tables. Preprint
Project page: https://rishabsa.github.io/NetworkWorldModel
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
- Can Cascades be Predicted?
- Graph World Model
- Predicting the sources of an outbreak with a spectral technique
- World Models
- Dream to Control: Learning Behaviors by Latent Imagination
- Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks
- Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
- Deep Identification of Propagation Trees
- Toward World Models for Epidemiology
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- From Leakage to Fidelity: Reliable Benchmarking for Temporal Cascade Prediction
- Learning Mesh-Based Simulation with Graph Networks
- Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
- Time-Critical Adversarial Influence Blocking Maximization
- Efficient Influence Minimization via Node Blocking
- GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
- Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
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
- Agents' Last Exam
- 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