Adhikari, Bijaya

9 publications

ICML 2025 Implicit Subgraph Neural Network Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari

ECML-PKDD 2025 TempoBiGen: A Curated Generative Model for Healthcare Mobility Logs with Visit Duration Hieu Vu, Alberto M. Segre, Bijaya Adhikari

ECML-PKDD 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

AAAI 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

AAAI 2023 EINNs: Epidemiologically-Informed Neural Networks Alexander Rodríguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, 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 Finding Needles in Heterogeneous Haystacks Bijaya Adhikari, Liangyue Li, Nikhil Rao, 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

NeurIPSW 2020 NetReAct: Interactive Learning for Network Summarization Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Christopher North, B. Aditya Prakash