  We introduce GraphSL, a new library for studying the graph source
localization problem. graph diffusion and graph source localization are inverse
problems in nature: graph diffusion predicts information diffusions from
information sources, while graph source localization predicts information
sources from information diffusions. GraphSL facilitates the exploration of
various graph diffusion models for simulating information diffusions and
enables the evaluation of cutting-edge source localization approaches on
established benchmark datasets. The source code of GraphSL is made available at
Github Repository (https://github.com/xianggebenben/GraphSL). Bug reports and
feedback can be directed to the Github issues page
(https://github.com/xianggebenben/GraphSL/issues).
