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Notes on graph theory
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Multi-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs
The paper introduces CT-Repair, an agentic Automated Program Repair (APR) framework that addresses the limitations of large language models in APR. The framework uses Code Property Graphs (CPG) and Temporal Execution…
Stability of Flow Models for Graph Signals
The paper presents research on the stability of continuous flow models for generating signals on graphs. The authors analyze normalized flow models parameterized by Graph Neural Networks (GNNs) and demonstrate that…
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
Researchers propose a new approach for dynamic pricing in liberalized railway systems using Relational Multi-Agent Reinforcement Learning (RL). The method models the environment as a graph, process features of entities…
MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems
The paper introduces a framework called Mesa to prioritize the security of vulnerable communication channels in multi-agent systems (MAS). The framework uses graph-theoretic metrics and dynamic probes to rank which MAS…
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