| Dysat: Deep neural representation learning on dynamic graphs via self-attention networks A Sankar, Y Wu, L Gou, W Zhang, H Yang Proceedings of the 13th international conference on web search and data …, 2020 | 782* | 2020 |
| Meta-GNN: Metagraph neural network for semi-supervised learning in attributed heterogeneous information networks A Sankar, X Zhang, KCC Chang Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 119* | 2019 |
| GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation A Sankar, Y Wu, Y Wu, W Zhang, H Yang, H Sundaram Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 109 | 2020 |
| An adversarial approach to improve long-tail performance in neural collaborative filtering A Krishnan, A Sharma, A Sankar, H Sundaram Proceedings of the 27th ACM International Conference on information and …, 2018 | 103 | 2018 |
| Graph neural networks for friend ranking in large-scale social platforms A Sankar, Y Liu, J Yu, N Shah Proceedings of the Web Conference 2021, 2535-2546, 2021 | 88 | 2021 |
| Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction A Sankar, X Zhang, A Krishnan, J Han Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 87 | 2020 |
| Discovering maximal motif cliques in large heterogeneous information networks J Hu, R Cheng, KCC Chang, A Sankar, Y Fang, BYH Lam 2019 IEEE 35th International Conference on Data Engineering (ICDE), 746-757, 2019 | 75 | 2019 |
| Protocf: Prototypical collaborative filtering for few-shot recommendation A Sankar, J Wang, A Krishnan, H Sundaram Proceedings of the 15th ACM Conference on Recommender Systems, 166-175, 2021 | 30 | 2021 |
| Predicting novel metabolic pathways through subgraph mining A Sankar, S Ranu, K Raman Bioinformatics 33 (24), 3955-3963, 2017 | 25 | 2017 |
| Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework A Sankar, J Wang, A Krishnan, H Sundaram International Conference on Data Mining (ICDM), 2020 | 21 | 2020 |
| Unsupervised Concept Categorization and Extraction from Scientific Document Titles A Krishnan*, A Sankar*, S Zhi, J Han The 26th ACM International Conference on Information and Knowledge …, 2017 | 14 | 2017 |
| Improved mhp analysis A Sankar, S Chakraborty, VK Nandivada Proceedings of the 25th International Conference on Compiler Construction …, 2016 | 11 | 2016 |
| RASE: Relationship Aware Social Embedding A Sankar, A Krishnan, Z He, C Yang International Joint Conference on Neural Networks (IJCNN), 2019 | 10 | 2019 |
| Similarity learning for product recommendation and scoring using multi-channel data IA Burhanuddin, P Bajaj, S Shekhar, D Mukherjee, A Raj, A Sankar 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1143-1152, 2015 | 8 | 2015 |
| Audience-centric natural language generation via style infusion S Moorjani, A Krishnan, H Sundaram, E Maslowska, A Sankar arXiv preprint arXiv:2301.10283, 2023 | 4 | 2023 |
| Self-supervised role learning for graph neural networks A Sankar, J Wang, A Krishnan, H Sundaram Knowledge and Information Systems 64 (8), 2091-2121, 2022 | 3 | 2022 |
| Sparsity-aware neural user behavior modeling in online interaction platforms A Sankar arXiv preprint arXiv:2202.13491, 2022 | 2 | 2022 |
| Dynamic graph representation learning via attention networks A Sankar, Y Wu, L Gou, W Zhang, H Yang US Patent 12,205,044, 2025 | 1 | 2025 |
| Group item recommendations for ephemeral groups based on mutual information maximization A Sankar, Y Wu, Y Wu, W Zhang, H Yang US Patent App. 17/070,772, 2021 | | 2021 |
| Meta-GNN A Sankar, X Zhang, KCC Chang Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | | 2019 |
Adit KrishnanApplied Scientist, Amazonยืนยันอีเมลแล้วที่ amazon.com