Conflict forecasting with event data and spatio-temporal graph convolutional networks-Reference-Cited by-同舟云学术

Conflict forecasting with event data and spatio-temporal graph convolutional networks

Published:2022-03-14 Issue:4 Volume:48 Page:800-822
ISSN:0305-0629
Container-title:International Interactions
language:en
Short-container-title:International Interactions

Author:

Brandt Patrick T.¹^ORCID,D’Orazio Vito¹,Khan Latifur¹,Li Yi-Fan¹,Osorio Javier²^ORCID,Sianan Marcus¹

Affiliation:

1. University of Texas at Dallas

2. University of Arizona

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Political Science and International Relations

Link

https://www.tandfonline.com/doi/pdf/10.1080/03050629.2022.2036987

Reference45 articles.

1. Improving Quantitative Studies of International Conflict: A Conjecture

2. This Mine is Mine! How Minerals Fuel Conflicts in Africa

3. Forecasting Civil Wars: Theory and Structure in an Age of “Big Data” and Machine Learning

4. Blake, J. 2020. “Preventing the Next Boko Haram in Northern Mozambique.” Council on Foreign Relations, May 20. Accessed 14 December 2020. https://www.cfr.org/blog/preventingnext-boko-haram-northern-mozambique

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