Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network. - Stanislaw Placzek; Bijaya Adhikari (CS&P, 2014)

Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection. - Stanislaw Placzek; Bijaya Adhikari (Fundam. Informaticae, 2014)

Distributed Representations of Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (ICDM Workshops, 2017)

Condensing Temporal Networks using Propagation. - Bijaya Adhikari; Yao Zhang 003; Aditya Bharadwaj; B. Aditya Prakash (SDM, 2017)

MeiKe: Influence-based Communities in Networks. - Yao Zhang 003; Bijaya Adhikari; Steve T. K. Jan; B. Aditya Prakash (SDM, 2017)

Distributed Representation of Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (CoRR, 2017)

NetGist: Learning to Generate Task-Based Network Summaries. - Sorour E. Amiri; Bijaya Adhikari; Aditya Bharadwaj; B. Aditya Prakash (ICDM, 2018)

DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. - Mohammad Raihanul Islam; Sathappan Muthiah; Bijaya Adhikari; B. Aditya Prakash; Naren Ramakrishnan (ICDM, 2018)

Sub2Vec: Feature Learning for Subgraphs. - Bijaya Adhikari; Yao Zhang 003; Naren Ramakrishnan; B. Aditya Prakash (PAKDD (2), 2018)

Near-Optimal Mapping of Network States using Probes. - Bijaya Adhikari; Pavan Rangudu; B. Aditya Prakash; Anil Vullikanti (SDM, 2018)

Mining E-Commerce Query Relations using Customer Interaction Networks. - Bijaya Adhikari; Parikshit Sondhi; Wenke Zhang; Mohit Sharma 002; B. Aditya Prakash (WWW, 2018)

Propagation-Based Temporal Network Summarization. - Bijaya Adhikari; Yao Zhang 003; Sorour E. Amiri; Aditya Bharadwaj; B. Aditya Prakash (IEEE Trans. Knowl. Data Eng., 2018)

EpiDeep: Exploiting Embeddings for Epidemic Forecasting. - Bijaya Adhikari; Xinfeng Xu; Naren Ramakrishnan; B. Aditya Prakash (KDD, 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)

Designing Effective and Practical Interventions to Contain Epidemics. - Prathyush Sambaturu; Bijaya Adhikari; B. Aditya Prakash; Srinivasan Venkatramanan; Anil Vullikanti (AAMAS, 2020)

Mapping Network States using Connectivity Queries. - Alexander Rodríguez; Bijaya Adhikari; Andrés D. González; Charles D. Nicholson; Anil Vullikanti; B. Aditya Prakash (IEEE BigData, 2020)

NetReAct: Interactive Learning for Network Summarization. - Sorour E. Amiri; Bijaya Adhikari; John E. Wenskovitch; Alexander Rodríguez; Michelle Dowling; Chris North 001; B. Aditya Prakash (CoRR, 2020)

Domain-based Frameworks and Embeddings for Dynamics over Networks. - Bijaya Adhikari (2020)

Finding Needles in Heterogeneous Haystacks. - Bijaya Adhikari; Liangyue Li; Nikhil Rao 001; Karthik Subbian (AAAI, 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 (AAAI, 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 (AAAI, 2021)

Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases : For the CDC MInD Healthcare Network. - Hankyu Jang; Shreyas Pai; Bijaya Adhikari; Sriram V. Pemmaraju (ICDM, 2021)

Modeling and Evaluation of Clustering Patient Care into Bubbles. - D. M. Hasibul Hasan; Alex Rohwer; Hankyu Jang; Ted Herman; Philip M. Polgreen; Daniel K. Sewell; Bijaya Adhikari; Sriram V. Pemmaraju (ICHI, 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 (KDD, 2021)

Incorporating Expert Guidance in Epidemic Forecasting. - Alexander Rodríguez; Bijaya Adhikari; Naren Ramakrishnan; B. Aditya Prakash (CoRR, 2021)

Dynamic Healthcare Embeddings for Improving Patient Care. - Hankyu Jang; Sulyun Lee; D. M. Hasibul Hasan; Philip M. Polgreen; Sriram V. Pemmaraju; Bijaya Adhikari (ASONAM, 2022)

Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. - Masahiro Kiji; D. M. Hasibul Hasan; Alberto M. Segre; Sriram V. Pemmaraju; Bijaya Adhikari (ICDM, 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 (KDD, 2022)

Risk-aware temporal cascade reconstruction to detect asymptomatic cases. - Hankyu Jang; Shreyas Pai; Bijaya Adhikari; Sriram V. Pemmaraju (Knowl. Inf. Syst., 2022)

Detecting Sources of Healthcare Associated Infections. - Hankyu Jang; Andrew Fu; Jiaming Cui; Methun Kamruzzaman; B. Aditya Prakash; Anil Vullikanti; Bijaya Adhikari; Sriram V. Pemmaraju (AAAI, 2023)

EINNs: Epidemiologically-Informed Neural Networks. - Alexander Rodríguez; Jiaming Cui; Naren Ramakrishnan; Bijaya Adhikari; B. Aditya Prakash (AAAI, 2023)

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications. - Akash Choudhuri; Hankyu Jang; Alberto M. Segre; Philip M. Polgreen; Kishlay Jha; Bijaya Adhikari (CIKM, 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 (KDD, 2023)

Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings. - Pratik Maitra; Masahiro Kiji; Talal Riaz; Philip M. Polgreen; Alberto M. Segre; Sriram V. Pemmaraju; Bijaya Adhikari (ECML/PKDD (7), 2023)

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction. - Akash Choudhuri; Philip Polgreen; Alberto M. Segre; Bijaya Adhikari (ICDM (Workshops), 2024)

Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery. - Juncheng Ding; Shailesh Dahal; Bijaya Adhikari; Kishlay Jha (ICHI, 2024)

End-to-End Risk-Aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities. - Yongjian Zhong; Weiyu Huang; Bijaya Adhikari (ICHI, 2024)

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. - Alexander Rodríguez; Bijaya Adhikari; Ajitesh Srivastava; Sen Pei; Marie-Laure Charpignon; Kai Wang 071; Serina Chang; Anil Vullikanti; B. Aditya Prakash (KDD, 2024)

Efficient and Effective Implicit Dynamic Graph Neural Network. - Yongjian Zhong; Hieu Vu; Tianbao Yang; Bijaya Adhikari (KDD, 2024)

Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction. - Akash Choudhuri; Hieu Vu; Kishlay Jha; Bijaya Adhikari (SDM, 2025)

Conformal Edge-Weight Prediction in Latent Space. - Akash Choudhuri; Yongjian Zhong; Mehrdad Moharrami; Christine Klymko; Mark Heimann; Jayaraman J. Thiagarajan; Bijaya Adhikari (SDM, 2025)

Accurately Estimating Unreported Infections using Information Theory. - Jiaming Cui; Bijaya Adhikari; Arash Haddadan; A. S. M. Ahsan-Ul-Haque; Jilles Vreeken; Anil Vullikanti; B. Aditya Prakash (SDM, 2025)

Implicit Hypergraph Neural Network. - Akash Choudhuri; Yongjian Zhong; Bijaya Adhikari (CoRR, 2025)