GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets
<|reference_start|>GraphSL: An Open-Source Library for Graph Source Localization Approaches and Benchmark Datasets: 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).<|reference_end|>
@article{wang2024graphsl:,
    title={GraphSL: An Open-Source Library for Graph Source Localization Approaches
  and Benchmark Datasets},
    author={Junxiang Wang and Liang Zhao},
    journal={arXiv preprint arXiv:2405.03724},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.03724},
    primaryClass={cs.LG cs.SI}
}