Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks Xin Y an 1, Hui Fang 2, Qiang He

Neural Information Processing Systems 

Information diffusion problems, such as the spread of epidemics or rumors, are widespread in society. The inverse problems of graph diffusion, which involve locating the sources and identifying the paths of diffusion based on currently observed diffusion graphs, are crucial to controlling the spread of information.

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