Nature

A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation

With the explosive growth of digital content and the increasing diversity of online services, users are confronted with an overwhelming volume of information, making the identification of relevant ...
Nature

A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching

Urban-scale ride-hailing dispatch faces critical challenges such as heterogeneous demand density, highly dynamic state transitions, and multi-agent coordination. Traditional rule-based or heuristic ...