Srivastava, Ajitesh

6 publications

AAAI 2025 Aligning Time-Series by Local Trends: Applications in Public Health Ajitesh Srivastava

AAAI 2025 Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava

AAAI 2024 Nowcasting Temporal Trends Using Indirect Surveys Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Elvira Lillo

NeurIPSW 2024 Simultaneous Weight and Architecture Optimization for Neural Networks Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava

NeurIPS 2021 Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

ICLR 2020 GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor Prasanna