Ajitesh Srivastava
5 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Silver ๐บ๏ธ Taxonomy Completionist (13) ๐ Keyword Champion (2)
๐
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(3)
Architectures
(3)
Core Methods
(3)
Data Science & Analytics
(2)
Applications
(2)
Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Foundations
(1)
Learning Paradigms
(1)
Keywords
graph neural network
(2)
node classification
(2)
epidemic modeling
(2)
receptive field
(1)
time series alignment
(1)
ensemble method
(1)
physics-informed neural network
(1)
feature augmentation
(1)
temporal aggregation
(1)
graph convolutional network
(1)
inductive learning
(1)
graph sampling
(1)
temporal trend
(1)
subgraph extraction
(1)
trajectory clustering
(1)
variant emergence prediction
(1)
epidemic dynamics
(1)
indirect survey
(1)
network scale-up method
(1)
hidden population estimation
(1)
Papers
Aligning Time-series by Local Trends: Applications in Public Health
AAAI 2025
Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction
AAAI 2025
Nowcasting Temporal Trends Using Indirect Surveys
AAAI 2024
Decoupling the Depth and Scope of Graph Neural Networks
NeurIPS 2021
GraphSAINT: Graph Sampling Based Inductive Learning Method
ICLR 2020