B. Aditya Prakash

According to our database, B. Aditya Prakash authored at least 113 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Review of Graph Neural Networks in Epidemic Modeling.

Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin

CoRR, 2024

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash

CoRR, 2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

CoRR, 2024

2023

Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses.

Vedant Das Swain, Jiajia Xie, Maanit Madan, Sonia Sargolzaei, James Cai, Munmun De Choudhury, Gregory D. Abowd, Lauren N. Steimle, B. Aditya Prakash

Frontiers Digit. Health, March, 2023

Large Pre-trained time series models for cross-domain Time series analysis tasks.

Harshavardhan Kamarthi, B. Aditya Prakash

CoRR, 2023

PEMS: Pre-trained Epidemic Time-series Models.

Harshavardhan Kamarthi, B. Aditya Prakash

CoRR, 2023

Performative Time-Series Forecasting.

Zhiyuan Zhao, Alexander Rodríguez, B. Aditya Prakash

CoRR, 2023

DF2: Distribution-Free Decision-Focused Learning.

Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang

CoRR, 2023

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks.

Leo Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash

CoRR, 2023

Uncertainty Quantification in Deep Learning.

Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Autoregressive Diffusion Model for Graph Generation.

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

Proceedings of the International Conference on Machine Learning, 2023

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

EINNs: Epidemiologically-Informed Neural Networks.

Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, B. Aditya Prakash

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Detecting Sources of Healthcare Associated Infections.

Hankyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari, Sriram V. Pemmaraju

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Differentiable Agent-based Epidemiology.

Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar

CoRR, 2022

Data-Centric Epidemic Forecasting: A Survey.

Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash

CoRR, 2022

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

CoRR, 2022

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

End-to-end Stochastic Optimization with Energy-based Model.

Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Epidemic Forecasting with a Data-Centric Lens.

Alexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future.

Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash

Proceedings of the Tenth International Conference on Learning Representations, 2022

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.

Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Incorporating Expert Guidance in Epidemic Forecasting.

Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash

CoRR, 2021

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).

Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Actionable Insights in Urban Multivariate Time-series.

Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes.

Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting.

Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19.

Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cut-n-Reveal: Time Series Segmentations with Explanations.

Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash

ACM Trans. Intell. Syst. Technol., 2020

NetReAct: Interactive Learning for Network Summarization.

Sorour E. Amiri, Bijaya Adhikari, John E. Wenskovitch, Alexander Rodríguez, Michelle Dowling, Chris North, B. Aditya Prakash

CoRR, 2020

Mapping Network States using Connectivity Queries.

Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles D. Nicholson, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Designing Effective and Practical Interventions to Contain Epidemics.

Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Tracking and analyzing dynamics of news-cycles during global pandemics: a historical perspective.

Sorour E. Amiri, Anika Tabassum, E. Thomas Ewing, B. Aditya Prakash

SIGKDD Explor., 2019

Fast and near-optimal monitoring for healthcare acquired infection outbreaks.

Bijaya Adhikari, Bryan L. Lewis, Anil Vullikanti, José M. Jiménez, B. Aditya Prakash

PLoS Comput. Biol., 2019

Data-driven efficient network and surveillance-based immunization.

Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura Pullum, B. Aditya Prakash

Knowl. Inf. Syst., 2019

Joint Post and Link-level Influence Modeling on Social Media.

Liangzhe Chen, B. Aditya Prakash

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

EpiDeep: Exploiting Embeddings for Epidemic Forecasting.

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Automatic Segmentation of Dynamic Network Sequences with Node Labels.

Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash

IEEE Trans. Knowl. Data Eng., 2018

Propagation-Based Temporal Network Summarization.

Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, B. Aditya Prakash

IEEE Trans. Knowl. Data Eng., 2018

Efficiently summarizing attributed diffusion networks.

Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash

Data Min. Knowl. Discov., 2018

Mining E-Commerce Query Relations using Customer Interaction Networks.

Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, B. Aditya Prakash

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Near-Optimal Mapping of Network States using Probes.

Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, Anil Vullikanti

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

SIGNet: Scalable Embeddings for Signed Networks.

Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Sub2Vec: Feature Learning for Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades.

Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the IEEE International Conference on Data Mining, 2018

NetGist: Learning to Generate Task-Based Network Summaries.

Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, B. Aditya Prakash

Proceedings of the IEEE International Conference on Data Mining, 2018

Automatic Segmentation of Data Sequences.

Liangzhe Chen, Sorour E. Amiri, B. Aditya Prakash

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Nonlinear Dynamics of Information Diffusion in Social Networks.

Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos

ACM Trans. Web, 2017

Understanding the Relationship between Human Behavior and Susceptibility to Cyber Attacks: A Data-Driven Approach.

Michael Ovelgönne, Tudor Dumitras, B. Aditya Prakash, V. S. Subrahmanian, Benjamin Wang

ACM Trans. Intell. Syst. Technol., 2017

Distributed Representation of Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

CoRR, 2017

Detecting Large Reshare Cascades in Social Networks.

Karthik Subbian, B. Aditya Prakash, Lada A. Adamic

Proceedings of the 26th International Conference on World Wide Web, 2017

MeiKe: Influence-based Communities in Networks.

Yao Zhang, Bijaya Adhikari, Steve T. K. Jan, B. Aditya Prakash

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Condensing Temporal Networks using Propagation.

Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, B. Aditya Prakash

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Data-Driven Immunization.

Yao Zhang, Arvind Ramanathan, Anil Vullikanti, Laura L. Pullum, B. Aditya Prakash

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Distributed Representations of Subgraphs.

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks.

Liangzhe Chen, Xinfeng Xu, Sangkeun Lee, Sisi Duan, Alfonso G. Tarditi, Supriya Chinthavali, B. Aditya Prakash

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SnapNETS: Automatic Segmentation of Network Sequences with Node Labels.

Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks.

Yao Zhang, Abhijin Adiga, Sudip Saha, Anil Vullikanti, B. Aditya Prakash

IEEE Trans. Knowl. Data Eng., 2016

Node Immunization on Large Graphs: Theory and Algorithms.

Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau

IEEE Trans. Knowl. Data Eng., 2016

Eigen-Optimization on Large Graphs by Edge Manipulation.

Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, 2016

Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs.

Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash

SIGKDD Explor., 2016

Prediction Using Propagation: From Flu Trends to Cybersecurity.

B. Aditya Prakash

IEEE Intell. Syst., 2016

Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models.

Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash

Data Min. Knowl. Discov., 2016

Forecasting the Flu: Designing Social Network Sensors for Epidemics.

Huijuan Shao, K. S. M. Tozammel Hossain, Hao Wu, Maleq Khan, Anil Vullikanti, B. Aditya Prakash, Madhav V. Marathe, Naren Ramakrishnan

CoRR, 2016

Ensemble Models for Data-driven Prediction of Malware Infections.

Chanhyun Kang, Noseong Park, B. Aditya Prakash, Edoardo Serra, V. S. Subrahmanian

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Unstable Communities in Network Ensembles.

Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Reconstructing an Epidemic Over Time.

Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Leveraging Propagation for Data Mining: Models, Algorithms and Applications.

B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Segmenting Sequences of Node-Labeled Graphs.

Sorour E. Amiri, Liangzhe Chen, B. Aditya Prakash

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety.

Sangkeun Lee, Liangzhe Chen, Sisi Duan, Supriya Chinthavali, Mallikarjun Shankar, B. Aditya Prakash

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Graph Mining for Cyber Security.

B. Aditya Prakash

Proceedings of the Cyber Warfare - Building the Scientific Foundation, 2015

Data-Aware Vaccine Allocation Over Large Networks.

Yao Zhang, B. Aditya Prakash

ACM Trans. Knowl. Discov. Data, 2015

Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics.

Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread.

Sudip Saha, Abhijin Adiga, B. Aditya Prakash, Anil Kumar S. Vullikanti

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Controlling Propagation at Group Scale on Networks.

Yao Zhang, Abhijin Adiga, Anil Vullikanti, B. Aditya Prakash

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mining Unstable Communities from Network Ensembles.

Ahsanur Rahman, Steve T. K. Jan, Hyunju Kim, B. Aditya Prakash, T. M. Murali

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

The Global Cyber-Vulnerability Report

V. S. Subrahmanian, Michael Ovelgönne, Tudor Dumitras, B. Aditya Prakash

Terrorism, Security, and Computation, Springer, ISBN: 978-3-319-25760-0, 2015

2014

SharkFin: Spatio-temporal mining of software adoption and penetration.

Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng Chau, B. Aditya Prakash, Christos Faloutsos

Soc. Netw. Anal. Min., 2014

Efficiently spotting the starting points of an epidemic in a large graph.

B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos

Knowl. Inf. Syst., 2014

DAVA: Distributing Vaccines over Networks under Prior Information.

Yao Zhang, B. Aditya Prakash

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fast influence-based coarsening for large networks.

Manish Purohit, B. Aditya Prakash, Chanhyun Kang, Yao Zhang, V. S. Subrahmanian

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Modeling mass protest adoption in social network communities using geometric brownian motion.

Fang Jin, Rupinder Paul Khandpur, Nathan Self, Edward R. Dougherty, Sheng Guo, Feng Chen, B. Aditya Prakash, Naren Ramakrishnan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models.

Liangzhe Chen, K. S. M. Tozammel Hossain, Patrick Butler, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Scalable Vaccine Distribution in Large Graphs given Uncertain Data.

Yao Zhang, B. Aditya Prakash

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text.

Shashidhar Sundereisan, Abhay Bhadriraju, M. Saquib Khan, Naren Ramakrishnan, B. Aditya Prakash

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Competing Memes Propagation on Networks: A Network Science Perspective.

Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, Christos Faloutsos

IEEE J. Sel. Areas Commun., 2013

Fractional Immunization in Networks.

Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model.

Danai Koutra, Vasileios Koutras, B. Aditya Prakash, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Smartphone viruses propagation on heterogeneous composite networks.

Xuetao Wei, Nicholas Valler, Michalis Faloutsos, Iulian Neamtiu, B. Aditya Prakash, Christos Faloutsos

Proceedings of the 2nd IEEE Network Science Workshop, 2013

Spatio-temporal mining of software adoption & penetration.

Evangelos E. Papalexakis, Tudor Dumitras, Duen Horng (Polo) Chau, B. Aditya Prakash, Christos Faloutsos

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Understanding and Managing Cascades on Large Graphs.

B. Aditya Prakash, Christos Faloutsos

Proc. VLDB Endow., 2012

Threshold conditions for arbitrary cascade models on arbitrary networks.

B. Aditya Prakash, Deepayan Chakrabarti, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos

Knowl. Inf. Syst., 2012

Propagation and immunization in large networks.

B. Aditya Prakash

XRDS, 2012

Competing memes propagation on networks: a case study of composite networks.

Xuetao Wei, Nicholas Valler, B. Aditya Prakash, Iulian Neamtiu, Michalis Faloutsos, Christos Faloutsos

Comput. Commun. Rev., 2012

Winner takes all: competing viruses or ideas on fair-play networks.

B. Aditya Prakash, Alex Beutel, Roni Rosenfeld, Christos Faloutsos

Proceedings of the 21st World Wide Web Conference 2012, 2012

Rise and fall patterns of information diffusion: model and implications.

Yasuko Matsubara, Yasushi Sakurai, B. Aditya Prakash, Lei Li, Christos Faloutsos

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Interacting viruses in networks: can both survive?

Alex Beutel, B. Aditya Prakash, Roni Rosenfeld, Christos Faloutsos

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Spotting Culprits in Epidemics: How Many and Which Ones?

B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Gelling, and melting, large graphs by edge manipulation.

Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point.

Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos

Proceedings of the NETWORKING 2011, 2011

Time Series Clustering: Complex is Simpler!

Lei Li, B. Aditya Prakash

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Parsimonious Linear Fingerprinting for Time Series.

Lei Li, B. Aditya Prakash, Christos Faloutsos

Proc. VLDB Endow., 2010

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.

B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Metric forensics: a multi-level approach for mining volatile graphs.

Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

On the Vulnerability of Large Graphs.

Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau

Proceedings of the ICDM 2010, 2010

2009

FRAPP: a framework for high-accuracy privacy-preserving mining.

Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash

Data Min. Knowl. Discov., 2009

BGP-lens: patterns and anomalies in internet routing updates.

B. Aditya Prakash, Nicholas Valler, David G. Andersen, Michalis Faloutsos, Christos Faloutsos

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs.

B. Aditya Prakash, Mukund Seshadri, Ashwin Sridharan, Sridhar Machiraju, Christos Faloutsos

Proceedings of the ICDM Workshops 2009, 2009

2007

Complex Group-By Queries for XML.

Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash

Proceedings of the 23rd International Conference on Data Engineering, 2007