Puja Trivedi
8 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Grand Slam
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
graph neural network
(5)
epistemic uncertainty
(2)
domain adaptation
(1)
local learning
(1)
style transfer
(1)
self-supervised learning
(1)
data augmentation
(1)
denoising
(1)
graph representation
(1)
out-of-distribution generalization
(1)
adversarial attack
(1)
out-of-distribution detection
(1)
uncertainty estimation
(1)
forward learning
(1)
node injection
(1)
linear probing
(1)
text-attributed graph
(1)
evolutionary optimization
(1)
simplicity bia
(1)
graph contrastive learning
(1)
Papers
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
AAAI 2026
A Large-scale Training Paradigm for Graph Generative Models
ICLR 2025
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
Editing Partially Observable Networks via Graph Diffusion Models
ICML 2024
Forward Learning of Graph Neural Networks
ICLR 2024
PAGER: Accurate Failure Characterization in Deep Regression Models
ICML 2024
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
ICLR 2023
Analyzing Data-Centric Properties for Graph Contrastive Learning
NeurIPS 2022