The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

The function gen_important_small_seps() enumerates all important st-separators which size does not exceed k. Uses the function gen_cuts_recursive which is based on an adaptation of the recursive ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

Abstract: With the rapid development of digital technology and intelligent information systems, the application of multimodal knowledge fusion in the construction of intelligent knowledge graphs has ...

Welcome to STAN! STAN stands for Stigmergic A* Navigation. This application uses collective intelligence to improve pathfinding through a process called pheromone-based optimization. It helps you find ...