Puja Trivedi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs. | Jiaji Ma, Puja Trivedi, Danai Koutra |
| 2025 | ICLR | A Large-scale Training Paradigm for Graph Generative Models. | Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr |
| 2025 | WWW | Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies. | Tek Raj Chhetri, Yaroslav O. Halchenko, Dorota Jarecka, Puja Trivedi, Satrajit S. Ghosh, Patrick Ray, Lydia Ng |
| 2024 | ICASSP | On Estimating Link Prediction Uncertainty Using Stochastic Centering. | Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan |
| 2024 | ICLR | Forward Learning of Graph Neural Networks. | Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed |
| 2024 | ICLR | Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. | Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan |
| 2024 | ICML | PAGER: Accurate Failure Characterization in Deep Regression Models. | Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh |
| 2024 | ICML | Editing Partially Observable Networks via Graph Diffusion Models. | Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra |
| 2023 | ICASSP | A Closer Look At Scoring Functions And Generalization Prediction. | Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan |
| 2023 | ICLR | A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias. | Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan |
| 2022 | CIKM | Leveraging the Graph Structure of Neural Network Training Dynamics. | Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra |
| 2022 | WWW | Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. | Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra |