Giselle Zeno and Jennifer Neville. 2023. DYANE: DYnamic Attributed Node rolEs Generative Model. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23), October 21–25, 2023, Birmingham, UK.
@inproceedings{Zeno2023,
author = {Zeno, Giselle and Neville, Jennifer},
title = {DYANE: DYnamic Attributed Node RolEs Generative Model},
year = {2023},
isbn = {9798400701245},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3583780.3614858},
doi = {10.1145/3583780.3614858},
booktitle = {Proceedings of the 32nd ACM International Conference on Information and Knowledge Management},
pages = {3144–3153},
numpages = {10},
location = {Birmingham, United Kingdom},
series = {CIKM '23}
}
Giselle Zeno, Timothy La Fond, and Jennifer Neville. 2021. DYMOND: DYnamic MOtif-NoDes Network Generative Model. In Proceedings of the Web Conference 2021 (WWW ‘21), April 19–23, 2021, Ljubljana, Slovenia.
@inproceedings{Zeno2021,
title = {{{DYMOND}}: {{DYnamic MOtif}}-{{NoDes Network Generative Model}}},
booktitle = {Proceedings of the {{Web Conference}} 2021 ({{WWW}} `21)},
author = {Zeno, Giselle and {La Fond}, Timothy and Neville, Jennifer},
year = {2021},
pages = {12},
publisher = {{ACM, New York, NY, USA}},
address = {{Ljubljana, Slovenia}},
doi = {10.1145/3442381.3450102}
}
Giselle Zeno, Timothy La Fond, and Jennifer Neville. 2020. Dynamic Network Modeling from Motif-Activity. In Companion Proceedings of the Web Conference 2020 (WWW ‘20 Companion), April 20–24, 2020, Taipei, Taiwan.
@inproceedings{Zeno2020,
title = {Dynamic {{Network Modeling}} from {{Motif}}-{{Activity}}},
booktitle = {Companion {{Proceedings}} of the {{Web Conference}} 2020 ({{WWW}} `20 {{Companion}})},
author = {Zeno, Giselle and {La Fond}, Timothy and Neville, Jennifer},
year = {2020},
pages = {8},
publisher = {{ACM, New York, NY, USA}},
address = {{Taipei, Taiwan}},
doi = {10.1145/3366424.3383301},
}
Giselle Zeno and Jennifer Neville. 2016. Investigating the Impact of Graph Structure and Attribute Correlation on Collective Classification Performance. In the 12th International Workshop on Mining and Learning with Graphs (MLG), August 14, 2016, San Francisco, CA, USA.
@inproceedings{Zeno2016,
title = {Investigating the Impact of Graph Structure and Attribute Correlation on Collective Classification Performance},
booktitle = {the 12th {{International Workshop}} on {{Mining}} and {{Learning}} with {{Graphs}} ({{MLG}})},
author = {Zeno, Giselle and Neville, Jennifer},
year = {2016},
pages = {8},
publisher = {{ACM, New York, NY, USA}},
address = {{San Francisco, CA, USA}},
}
Richard P. Lippmann, William M. Campbell, David J. Weller-Fahy, Alyssa C. Mensch, Giselle M. Zeno, and Joseph P. Campbell. 2016. Finding Malicious Cyber Discussions in Social Media. MIT Lincoln Laboratory Journal 22, 1, (2016), 46-49.
@article{lippmannFindingMaliciousCyber2016,
title = {Finding {{Malicious Cyber Discussions}} in {{Social Media}}},
author = {Lippmann, Richard P. and Campbell, William M. and {Weller-Fahy}, David J. and Mensch, Alyssa C. and Zeno, Giselle M. and Campbell, Joseph P.},
year = {2016},
volume = {22},
annotation = {ZSCC: NoCitationData[s0]},
file = {/Users/gzenotor/Documents/zotero/My Papers/(2016) Finding Malicious Cyber Discussions in Social Media.pdf},
journal = {LINCOLN LABORATORY JOURNAL},
number = {1}
}