@inproceedings{DBLP:conf/sigmetrics/ShahZ10,
  author    = {Devavrat Shah and
               Tauhid Zaman},
  xeditor    = {Vishal Misra and
               Paul Barford and
               Mark S. Squillante},
  title     = {Detecting sources of computer viruses in networks: theory and experiment},
  booktitle = {{SIGMETRICS} 2010, Proceedings of the 2010 {ACM} {SIGMETRICS} International
               Conference on Measurement and Modeling of Computer Systems},
  pages     = {203--214},
  publisher = {{ACM}},
  year      = {2010},
  xurl       = {https://doi.org/10.1145/1811039.1811063},
  doi       = {10.1145/1811039.1811063},
  timestamp = {Fri, 30 Jul 2021 16:13:32 +0200},
  biburl    = {https://dblp.org/rec/conf/sigmetrics/ShahZ10.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/sigmetrics/ShahZ12,
  author    = {Devavrat Shah and
               Tauhid Zaman},
  xeditor    = {Peter G. Harrison and
               Martin F. Arlitt and
               Giuliano Casale},
  title     = {Rumor centrality: a universal source detector},
  booktitle = {{ACM} {SIGMETRICS/PERFORMANCE} Joint International Conference on Measurement
               and Modeling of Computer Systems, {SIGMETRICS} '12},
  pages     = {199--210},
  publisher = {{ACM}},
  year      = {2012},
  xurl       = {https://doi.org/10.1145/2254756.2254782},
  doi       = {10.1145/2254756.2254782},
  timestamp = {Fri, 30 Jul 2021 16:13:32 +0200},
  biburl    = {https://dblp.org/rec/conf/sigmetrics/ShahZ12.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@book{Penrose2003,
XXX=true,
  doi = {10.1093/acprof:oso/9780198506263.001.0001},
  xxxurl = {https://doi.org/10.1093/acprof:oso/9780198506263.001.0001},
  year = {2003},
  month = may,
  publisher = {Oxford University Press},
  author = {Mathew Penrose},
  title = {Random Geometric Graphs}
}



@article{kazemitabar2019approximate,
   author    = {S. Jalil Kazemitabar and
               Arash Ali Amini},
  title     = {Approximate Identification of the Optimal Epidemic Source in Complex
               Networks},
  journal   = {CoRR},
  volume    = {abs/1906.03052},
  year      = {2019},
  url       = {http://arxiv.org/abs/1906.03052},
  eprinttype = {arXiv},
  eprint    = {1906.03052},
  timestamp = {Fri, 14 Jun 2019 09:38:24 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1906-03052.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{kempe2003,
  author    = {David Kempe and
               Jon M. Kleinberg and
               {\'{E}}va Tardos},
  title     = {Maximizing the Spread of Influence through a Social Network},
  journal   = {Theory Comput.},
  volume    = {11},
  pages     = {105--147},
  year      = {2015},
  xurl       = {https://doi.org/10.4086/toc.2015.v011a004},
  doi       = {10.4086/toc.2015.v011a004},
  timestamp = {Sun, 21 Jun 2020 17:37:47 +0200},
  biburl    = {https://dblp.org/rec/journals/toc/KempeKT15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Kermack1927,
  doi = {10.1098/rspa.1927.0118},
  xurl = {https://doi.org/10.1098/rspa.1927.0118},
  year = {1927},
  author = {Kermack, William Ogilvy and McKendrick, A. G.},
  publisher = {The Royal Society},
  volume = {115},
  number = {772},
  pages = {700--721},
  title = {A contribution to the mathematical theory of epidemics},
  journal = {Proceedings of the Royal Society of London. Series A}
}

@BOOK{branching_2020,
XXX=true,
	AUTHOR = {Grimmett, Geoffrey and Stirzaker, David},
	YEAR = {2020},
	TITLE = {Probability and Random Processes},
	EDITION = {4},
	ISBN = {978-0-198-84760-1},
	PUBLISHER = {Oxford University Press},
	ADDRESS = {New York},
}

@BOOK{Kingman1992,
	AUTHOR = {Kingman, J. F. C.},
	YEAR = {1993},
	TITLE = {Poisson Processes},
	xISBN = {978-0-198-53693-2},
	PUBLISHER = {Oxford University Press},
	xADDRESS = {New York},
}

@Article{besselfunctions,
AUTHOR = {Martin, Pablo and Rojas, Eduardo and Olivares, Jorge and Sotomayor, Adrián},
TITLE = {Quasi-Rational Analytic Approximation for the Modified Bessel Function I1(x) with High Accuracy},
JOURNAL = {Symmetry},
VOLUME = {13},
YEAR = {2021},
NUMBER = {5},
ARTICLE-NUMBER = {741},
URL = {https://www.mdpi.com/2073-8994/13/5/741},
xISSN = {2073-8994},
DOI = {10.3390/sym13050741}
}

@article{Gardner_1989,
	doi = {10.1088/0305-4470/22/12/004},
  title={Three unfinished works on the optimal storage capacity of networks},
  author={Gardner, Elizabeth and Derrida, Bernard},
  journal={Journal of Physics A: Mathematical and General},
  volume={22},
  number={12},
  pages={1983},
  year={1989},
  publisher={IOP Publishing}
}

@article{lenka_florent_stat_physics_inference,
author = {Lenka Zdeborová and Florent Krzakala},
title = {Statistical physics of inference: thresholds and algorithms},
journal = {Advances in Physics},
volume = {65},
number = {5},
pages = {453-552},
year  = {2016},
publisher = {Taylor \& Francis},
doi = {10.1080/00018732.2016.1211393},}

@inproceedings{coja_spiv,
   author    = {Amin Coja{-}Oghlan and
               Oliver Gebhard and
               Max Hahn{-}Klimroth and
               Philipp Loick},
  title     = {Optimal Group Testing},
  booktitle = {Conference on Learning Theory, {COLT} },
  series    = {Proceedings of Machine Learning Research},
  volume    = {125},
  pages     = {1374--1388},
  publisher = {{PMLR}},
  year      = {2020},
  url       = {http://proceedings.mlr.press/v125/coja-oghlan20a.html},
  timestamp = {Fri, 27 Nov 2020 16:13:27 +0100},
  biburl    = {https://dblp.org/rec/conf/colt/Coja-OghlanGHL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}







@article{Prakash2013,
  author    = {B. Aditya Prakash and
               Jilles Vreeken and
               Christos Faloutsos},
  title     = {Efficiently spotting the starting points of an epidemic in a large
               graph \balance},
  journal   = {Knowl. Inf. Syst.},
  volume    = {38},
  number    = {1},
  pages     = {35--59},
  year      = {2014},
  xurl       = {https://doi.org/10.1007/s10115-013-0671-5},
  doi       = {10.1007/s10115-013-0671-5},
  timestamp = {Sun, 02 Jun 2019 21:01:55 +0200},
  biburl    = {https://dblp.org/rec/journals/kais/PrakashVF14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Jain2016,
  author    = {Alankar Jain and
               Vivek S. Borkar and
               Dinesh Garg},
  title     = {Fast rumor source identification via random walks},
  journal   = {Soc. Netw. Anal. Min.},
  volume    = {6},
  number    = {1},
  pages     = {62:1--62:13},
  year      = {2016},
  xurl       = {https://doi.org/10.1007/s13278-016-0373-6},
  doi       = {10.1007/s13278-016-0373-6},
  timestamp = {Tue, 08 Sep 2020 13:27:26 +0200},
  biburl    = {https://dblp.org/rec/journals/snam/JainBG16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{spread_covid_neurips,
   author    = {Atalanti{-}Anastasia Mastakouri and
               Bernhard Sch{\"{o}}lkopf},
 xeditor    = {Hugo Larochelle and
               Marc'Aurelio Ranzato and
               Raia Hadsell and
               Maria{-}Florina Balcan and
               Hsuan{-}Tien Lin},
  title     = {Causal analysis of Covid-19 Spread in Germany},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference
               on Neural Information Processing Systems 2020, NeurIPS},
  year      = {2020},
  xurl       = {https://proceedings.neurips.cc/paper/2020/hash/205e73579f21c2ed134dbd6ce7e4a1ea-Abstract.html},
  timestamp = {Tue, 19 Jan 2021 15:56:52 +0100},
  biburl    = {https://dblp.org/rec/conf/nips/MastakouriS20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{reconstruction_epidemics_parameters,
  author    = {Andrey Y. Lokhov},
  xeditor    = {Daniel D. Lee and
               Masashi Sugiyama and
               Ulrike von Luxburg and
               Isabelle Guyon and
               Roman Garnett},
  title     = {Reconstructing Parameters of Spreading Models from Partial Observations},
  booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference
               on Neural Information Processing Systems},
  pages     = {3459--3467},
  year      = {2016},
  xurl       = {https://proceedings.neurips.cc/paper/2016/hash/404dcc91b2aeaa7caa47487d1483e48a-Abstract.html},
  timestamp = {Mon, 16 May 2022 15:41:51 +0200},
  biburl    = {https://dblp.org/rec/conf/nips/Lokhov16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Ji2017AnAF,
  author    = {Feng Ji and
               Wee Peng Tay},
  title     = {An Algorithmic Framework for Estimating Rumor Sources With Different
               Start Times},
  journal   = {{IEEE} Trans. Signal Process.},
  volume    = {65},
  number    = {10},
  pages     = {2517--2530},
  year      = {2017},
  xurl       = {https://doi.org/10.1109/TSP.2017.2659643},
  doi       = {10.1109/TSP.2017.2659643},
  timestamp = {Tue, 10 Mar 2020 10:54:14 +0100},
  biburl    = {https://dblp.org/rec/journals/tsp/JiT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{Bindi2017,
    doi = {10.1371/journal.pone.0176376},
    author = {Bindi, Jacopo AND Braunstein, Alfredo AND Dall’Asta, Luca},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Predicting epidemic evolution on contact networks from partial observations},
    year = {2017},
    volume = {12},
    xurl = {https://doi.org/10.1371/journal.pone.0176376},
    pages = {1--28},
}



@article{Zhao2011,
    author    = {Jichang Zhao and
               Junjie Wu and
               Xu Feng and
               Hui Xiong and
               Ke Xu},
  title     = {Information propagation in online social networks: a tie-strength
               perspective},
  journal   = {Knowl. Inf. Syst.},
  volume    = {32},
  number    = {3},
  pages     = {589--608},
  year      = {2012},
  xurl       = {https://doi.org/10.1007/s10115-011-0445-x},
  doi       = {10.1007/s10115-011-0445-x},
  timestamp = {Tue, 22 Dec 2020 09:36:15 +0100},
  biburl    = {https://dblp.org/rec/journals/kais/ZhaoWFXX12.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Leskovec2007PatternsOC,
    author    = {Jure Leskovec and
               Mary McGlohon and
               Christos Faloutsos and
               Natalie S. Glance and
               Matthew Hurst},
  title     = {Patterns of Cascading Behavior in Large Blog Graphs},
  booktitle = {Proceedings of the Seventh {SIAM} International Conference on Data
               Mining},
  pages     = {551--556},
  publisher = {{SIAM}},
  year      = {2007},
  xurl       = {https://doi.org/10.1137/1.9781611972771.60},
  doi       = {10.1137/1.9781611972771.60},
  timestamp = {Sun, 02 Jun 2019 21:21:08 +0200},
  biburl    = {https://dblp.org/rec/conf/sdm/LeskovecMFGH07.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}




@inproceedings{Lerman_Ghosh_2010,
  author    = {Kristina Lerman and
               Rumi Ghosh},
 xeditor    = {William W. Cohen and
               Samuel Gosling},
  title     = {Information Contagion: An Empirical Study of the Spread of News on
               Digg and Twitter Social Networks},
  booktitle = {Proceedings of the Fourth International Conference on Weblogs and
               Social Media, {ICWSM}},
  publisher = {The {AAAI} Press},
  year      = {2010},
  url       = {http://www.aaai.org/ocs/index.php/ICWSM/ICWSM10/paper/view/1509},
  timestamp = {Fri, 05 Feb 2021 11:07:26 +0100},
  biburl    = {https://dblp.org/rec/conf/icwsm/LermanG10.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Becker_Coro_DAngelo_Gilbert_2020,
  author    = {Ruben Becker and
               Federico Cor{\`{o}} and
               Gianlorenzo D'Angelo and
               Hugo Gilbert},
  title     = {Balancing Spreads of Influence in a Social Network},
  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}
               2020},
  pages     = {3--10},
  publisher = {{AAAI} Press},
  year      = {2020},
  url       = {https://ojs.aaai.org/index.php/AAAI/article/view/5327},
  timestamp = {Mon, 07 Mar 2022 16:58:06 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/BeckerCDG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Sadilek_Kautz_Silenzio_2021,
  author    = {Adam Sadilek and
               Henry A. Kautz and
               Vincent Silenzio},
  title     = {Modeling Spread of Disease from Social Interactions},
  booktitle = {Proceedings of the Sixth International Conference on Weblogs and Social
               Media},
  publisher = {The {AAAI} Press},
  year      = {2012},
  url       = {http://www.aaai.org/ocs/index.php/ICWSM/ICWSM12/paper/view/4493},
  timestamp = {Fri, 05 Feb 2021 11:07:21 +0100},
  biburl    = {https://dblp.org/rec/conf/icwsm/SadilekKS12.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{Wang_Wang_Pei_Ye_2017,
 author    = {Zheng Wang and
               Chaokun Wang and
               Jisheng Pei and
               Xiaojun Ye},
  title     = {Multiple Source Detection without Knowing the Underlying Propagation
               Model},
  booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},
  pages     = {217--223},
  publisher = {{AAAI} Press},
  year      = {2017},
  url       = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14159},
  timestamp = {Tue, 07 Feb 2023 13:33:25 +0100},
  biburl    = {https://dblp.org/rec/conf/aaai/WangWPY17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}



@article{sir_random_rigor,
 xISSN = {00219002},
 author = {Peter Neal},
 journal = {Journal of Applied Probability},
 number = {3},
 pages = {779--782},
  publisher={Cambridge University Press},
 title = {{SIR} Epidemics on a Bernoulli Random Graph},
 xurldate = {2022-04-14},
 volume = {40},
 year = {2003}
}


@article{britton_janson_martin-loef_2007, 
title={Graphs with specified degree distributions, simple epidemics, and local vaccination strategies},
  author={Britton, Tom and Janson, Svante and Martin-L{\"o}f, Anders},
  journal={Advances in Applied Probability},
  volume={39},
  number={4},
  pages={922--948},
  year={2007},
  publisher={Cambridge University Press}
}





















@article{Shah2020FindingPZ,
  author    = {Chintan Shah and
               Nima Dehmamy and
               Nicola Perra and
               Matteo Chinazzi and
               Albert{-}L{\'{a}}szl{\'{o}} Barab{\'{a}}si and
               Alessandro Vespignani and
               Rose Yu},
  title     = {Finding Patient Zero: Learning Contagion Source with Graph Neural
               Networks},
  journal   = {CoRR},
  volume    = {abs/2006.11913},
  year      = {2020},
  url       = {https://arxiv.org/abs/2006.11913},
  eprinttype = {arXiv},
  eprint    = {2006.11913},
  timestamp = {Tue, 23 Jun 2020 17:57:22 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2006-11913.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}



@book{SEIR,
	title = {Modeling Infectious Diseases in Humans and Animals},
	author={J Matt Keeling and Pejman Rohani},
	doi = {10.1515/9781400841035},
	xxurl = {https://doi.org/10.1515/9781400841035},
	publisher = {Princeton University Press},
	xISBN = {9781400841035},
 year = {2008}
}








@article{rum2007,
	title={Theory of rumour spreading in complex social networks},
	volume={374},
	xISSN={0378-4371},
	yurl={http://dx.doi.org/10.1016/j.physa.2006.07.017},
	DOI={10.1016/j.physa.2006.07.017},
	number={1},
	journal={Physica A: Statistical Mechanics and its Applications},
	publisher={Elsevier BV},
	author={ M. Nekovee and Y. Moreno and G. Bianconi and M. Marsili},
	year={2007},
	pages={457-–470} }




@article{goffman1964generalization,
	author={William Goffman and V. Newill},
	title={Generalization of Epidemic Theory: An Application to the Transmission of Ideas},
	journal={Nature},
	year={1964},
	xday={01},
	volume={204},
	number={4955},
	pages={225--228},
	xISSN={1476-4687},
	doi={10.1038/204225a0},
	xurl={https://doi.org/10.1038/204225a0}
}





@article{biazzo2021epidemic,
	  author    = {Indaco Biazzo and
               Alfredo Braunstein and
               Luca Dall'Asta and
               Fabio Mazza},
  title     = {Epidemic inference through generative neural networks},
  journal   = {CoRR},
  volume    = {abs/2111.03383},
  year      = {2021},
 url       = {https://arxiv.org/abs/2111.03383},
  eprinttype = {arXiv},
  eprint    = {2111.03383},
  timestamp = {Wed, 10 Nov 2021 16:07:30 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2111-03383.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@Incollection{Shu2021,
	author={Shu, Xincheng and Yu, Bin and Ruan, Zhongyuan and Zhang, Qingpeng and Xuan, Qi},
	title={Information Source Estimation with Multi-Channel Graph Neural Network},
	bookTitle={Graph Data Mining: Algorithm, Security and Application},
 editor={Xuan, Qi
and Ruan, Zhongyuan
and Min, Yong},
	year={2021},
	publisher={Springer},
	pages={1--27},
	doi={10.1007/978-981-16-2609-8_1},
}

@book{Janson_2011,
XXX=true,
    author =       "S. Janson and T. Luczak and A. Rucinski",
    title =        "Random Graphs",
    publisher =      "John Wiley and Sons",
    year =         "2011"
}


@book{SIS,
	title={Gonorrhea: Transmission dynamics and control. Lecture notes in Biomathematics, 56, 1--105},
	author={JA Yorke and HW Hethcote},
	year={1984},
	publisher={Springer-Verlag, Berlin},
	DOI={10.1007/978-3-662-07544-9},
	xurl={https://doi.org/10.1007/978-3-662-07544-9},
	xISSN={0341-633X},
	isbn={978-3-662-07544-9},
}

@article{Brauer2017,
  doi = {10.1016/j.idm.2017.02.001},
  xurl = {https://doi.org/10.1016/j.idm.2017.02.001},
  year = {2017},
  publisher = {Elsevier {BV}},
  volume = {2},
  number = {2},
  pages = {113--127},
  author = {Fred Brauer},
  title = {Mathematical epidemiology: Past,  present,  and future},
  journal = {Infectious Disease Modelling}
}


@article{Amoruso2020,
  doi = {10.1613/jair.1.11509},
  url = {https://doi.org/10.1613/jair.1.11509},
  year = {2020},
  month = nov,
  publisher = {{AI} Access Foundation},
  volume = {69},
  pages = {847--879},
  author = {Marco Amoruso and Daniele Anello and Vincenzo Auletta and Raffaele Cerulli and Diodato Ferraioli and Andrea Raiconi},
  title = {Contrasting the Spread of Misinformation in Online Social Networks},
  journal = {Journal of Artificial Intelligence Research}
}

@inproceedings{influencemaximation_chen_kdd,
author = {Chen, Wei and Wang, Yajun and Yang, Siyu},
title = {Efficient Influence Maximization in Social Networks},
year = {2009},
isbn = {9781605584959},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/1557019.1557047},
doi = {10.1145/1557019.1557047},
abstract = {Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the efficient influence maximization from two complementary directions. One is to improve the original greedy algorithm of [5] and its improvement [7] to further reduce its running time, and the second is to propose new degree discount heuristics that improves influence spread. We evaluate our algorithms by experiments on two large academic collaboration graphs obtained from the online archival database arXiv.org. Our experimental results show that (a) our improved greedy algorithm achieves better running time comparing with the improvement of [7] with matching influence spread, (b) our degree discount heuristics achieve much better influence spread than classic degree and centrality-based heuristics, and when tuned for a specific influence cascade model, it achieves almost matching influence thread with the greedy algorithm, and more importantly (c) the degree discount heuristics run only in milliseconds while even the improved greedy algorithms run in hours in our experiment graphs with a few tens of thousands of nodes.Based on our results, we believe that fine-tuned heuristics may provide truly scalable solutions to the influence maximization problem with satisfying influence spread and blazingly fast running time. Therefore, contrary to what implied by the conclusion of [5] that traditional heuristics are outperformed by the greedy approximation algorithm, our results shed new lights on the research of heuristic algorithms.},
booktitle = {Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
pages = {199–208},
numpages = {10},
keywords = {heuristic algorithms, influence maximization, social networks},
location = {Paris, France},
series = {KDD '09}
}


@inproceedings{zhuchenying_sir,
  author    = {Kai Zhu and
               Zhen Chen and
               Lei Ying},
  xeditor    = {Satinder Singh and
               Shaul Markovitch},
  title     = {Catch'Em All: Locating Multiple Diffusion Sources in Networks with
               Partial Observations},
  booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence},
  pages     = {1676--1683},
  publisher = {{AAAI} Press},
  year      = {2017},
  url       = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14658},
  timestamp = {Tue, 19 Apr 2022 16:03:28 +0200},
  biburl    = {https://dblp.org/rec/conf/aaai/ZhuCY17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{zhuying_ic,
author    = {Kai Zhu and
               Lei Ying},
  title     = {Information source detection in networks: Possibility and impossibility
               results},
  booktitle = {35th Annual {IEEE} International Conference on Computer Communications,
               {INFOCOM}},
  pages     = {1--9},
  publisher = {{IEEE}},
  year      = {2016},
  xurl       = {https://doi.org/10.1109/INFOCOM.2016.7524363},
  doi       = {10.1109/INFOCOM.2016.7524363},
  timestamp = {Sat, 09 Apr 2022 12:47:26 +0200},
  biburl    = {https://dblp.org/rec/conf/infocom/ZhuY16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@inproceedings{DBLP:conf/icml/DawkinsLX21,
  author    = {Quinlan Dawkins and
               Tianxi Li and
               Haifeng Xu},
  xeditor    = {Marina Meila and
               Tong Zhang},
  title     = {Diffusion Source Identification on Networks with Statistical Confidence},
  booktitle = {Proceedings of the 38th International Conference on Machine Learning,
               {ICML}},
  series    = {Proceedings of Machine Learning Research},
  volume    = {139},
  pages     = {2500--2509},
  publisher = {{PMLR}},
  year      = {2021},
  url       = {http://proceedings.mlr.press/v139/dawkins21a.html},
  timestamp = {Wed, 25 Aug 2021 17:11:17 +0200},
  biburl    = {https://dblp.org/rec/conf/icml/DawkinsLX21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}