| Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices P Trivedi, ES Lubana, Y Yan, Y Yang, D Koutra TheWebConf (formerly WWW), 2022, 2021 | 51 | 2021 |
| Analyzing Data-Centric Properties for Contrastive Learning on Graphs P Trivedi, ES Lubana, M Heimann, D Koutra, JJ Thiagarajan Advances in Neural Information Processing Systems (NeurIPS), 2022 | 17* | 2022 |
| A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias P Trivedi, D Koutra, JJ Thiagarajan International Conference on Learning Representations (ICLR), 2023 | 15 | 2023 |
| How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation ES Lubana, P Trivedi, D Koutra, RP Dick Conference on Lifelong Learning Agents (CoLLAs), 2021 | 13 | 2021 |
| Fairness-aware graph neural networks: A survey A Chen, RA Rossi, N Park, P Trivedi, Y Wang, T Yu, S Kim, F Dernoncourt, ... ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024 | 9 | 2024 |
| On the Efficacy of Generalization Error Prediction Scoring Functions P Trivedi, D Koutra, JJ Thiagarajan International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 | 4* | 2023 |
| Leveraging the graph structure of neural network training dynamics F Vahedian, R Li, P Trivedi, D Jin, D Koutra Proceedings of the 31st ACM International Conference on Information …, 2022 | 3* | 2022 |
| On Structural vs. Proximity-based Temporal Node Embeddings P Trivedi, A Büyükçakır, Y Lin, Y Qian, D Jin, D Koutra MLG Workshop at KDD, 2020 | 3 | 2020 |
| Forward Learning of Graph Neural Networks N Park, X Wang, A Simoulin, S Yang, G Yang, R Rossi, P Trivedi, ... International Conference on Learning Representations (ICLR), 2024 | 1 | 2024 |
| A Bayesian Model for Experiment Choice in Synthetic Biology RP Goldman, P Trivedi, D Bryce, M DeHaven, A Plotnick, PL Lee, ... AAAI Fall Symposium on AI and Synthetic Biology, Alexandria, VA, 2019 | 1 | 2019 |
| Large Generative Graph Models Y Wang, RA Rossi, N Park, H Chen, NK Ahmed, P Trivedi, F Dernoncourt, ... arXiv preprint arXiv:2406.05109, 2024 | | 2024 |
| On Estimating Link Prediction Uncertainty Using Stochastic Centering P Trivedi, D Koutra, JJ Thiagarajan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks P Trivedi, M Heimann, R Anirudh, D Koutra, JJ Thiagarajan International Conference on Learning Representations (ICLR), 2024 | | 2024 |
| PAGER: Accurate Failure Characterization in Deep Regression Models JJ Thiagarajan, V Narayanaswamy, P Trivedi, R Anirudh Forty-first International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Leveraging Graph Diffusion Models for Network Refinement Tasks P Trivedi, R Rossi, D Arbour, T Yu, F Dernoncourt, S Kim, N Lipka, N Park, ... arXiv preprint arXiv:2311.17856, 2023 | | 2023 |
| Large Language Model Guided Graph Clustering P Trivedi, N Choudhary, EW Huang, K Subbian, D Koutra | | |
Danai KoutraUniversity of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
