B. Aditya Prakash
B. Aditya Prakash
Associate Professor, Georgia Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Rise and fall patterns of information diffusion: model and implications
Y Matsubara, Y Sakurai, BA Prakash, L Li, C Faloutsos
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Gelling, and melting, large graphs by edge manipulation
H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos
Proceedings of the 21st ACM international conference on Information and …, 2012
Threshold conditions for arbitrary cascade models on arbitrary networks
BA Prakash, D Chakrabarti, NC Valler, M Faloutsos, C Faloutsos
Knowledge and information systems 33, 549-575, 2012
Spotting culprits in epidemics: How many and which ones?
BA Prakash, J Vreeken, C Faloutsos
2012 IEEE 12th international conference on data mining, 11-20, 2012
Ensemble forecasts of coronavirus disease 2019 (COVID-19) in the US
EL Ray, N Wattanachit, J Niemi, AH Kanji, K House, EY Cramer, J Bracher, ...
MedRXiv, 2020.08. 19.20177493, 2020
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Virus propagation on time-varying networks: Theory and immunization algorithms
BA Prakash, H Tong, N Valler, M Faloutsos, C Faloutsos
Joint European conference on machine learning and knowledge discovery in …, 2010
Eigenspokes: Surprising patterns and scalable community chipping in large graphs
BA Prakash, A Sridharan, M Seshadri, S Machiraju, C Faloutsos
Pacific-Asia conference on knowledge discovery and data mining, 435-448, 2010
Sub2Vec: Feature Learning for Subgraphs
B Adhikari, Y Zhang, N Ramakrishnan, BA Prakash
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
On the vulnerability of large graphs
H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ...
2010 IEEE international conference on data mining, 1091-1096, 2010
Winner takes all: competing viruses or ideas on fair-play networks
BA Prakash, A Beutel, R Rosenfeld, C Faloutsos
Proceedings of the 21st international conference on World Wide Web, 1037-1046, 2012
Interacting viruses in networks: can both survive?
A Beutel, BA Prakash, R Rosenfeld, C Faloutsos
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Competing memes propagation on networks: A network science perspective
X Wei, NC Valler, BA Prakash, I Neamtiu, M Faloutsos, C Faloutsos
IEEE Journal on Selected Areas in Communications 31 (6), 1049-1060, 2013
Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting
A Rodríguez, A Tabassum, J Cui, J Xie, J Ho, P Agarwal, B Adhikari, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15393 …, 2021
Node immunization on large graphs: Theory and algorithms
C Chen, H Tong, BA Prakash, CE Tsourakakis, T Eliassi-Rad, C Faloutsos, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 113-126, 2015
Approximation algorithms for reducing the spectral radius to control epidemic spread
S Saha, A Adiga, BA Prakash, AKS Vullikanti
Proceedings of the 2015 SIAM International Conference on Data Mining, 568-576, 2015
Time series clustering: Complex is simpler!
L Li, BA Prakash
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
Deepdiffuse: Predicting the'who'and'when'in cascades
MR Islam, S Muthiah, B Adhikari, BA Prakash, N Ramakrishnan
2018 IEEE international conference on data mining (ICDM), 1055-1060, 2018
Parsimonious linear fingerprinting for time series
L Li, BA Prakash, C Faloutsos
Proceedings of the VLDB Endowment 3 (1-2), 385-396, 2010
Epidemic spread in mobile ad hoc networks: Determining the tipping point
NC Valler, BA Prakash, H Tong, M Faloutsos, C Faloutsos
NETWORKING 2011: 10th International IFIP TC 6 Networking Conference …, 2011
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