| 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 | 99 | 2018 |
| 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 | 81 | 2020 |
| Transfer learning via contextual invariants for one-to-many cross-domain recommendation A Krishnan Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 45* | 2020 |
| A modular adversarial approach to social recommendation A Krishnan, H Cheruvu, C Tao, H Sundaram Proceedings of the 28th ACM international conference on information and …, 2019 | 41 | 2019 |
| Transfer learning via contextual invariants for one-to-many cross-domain recommendation A Krishnan, M Das, M Bendre, H Yang, H Sundaram Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 38 | 2020 |
| Leveraging semantic resources in diversified query expansion A Krishnan, D P, S Ranu, S Mehta World Wide Web 21, 1041-1067, 2018 | 30 | 2018 |
| 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 | 29 | 2021 |
| Insights from the long-tail: Learning latent representations of online user behavior in the presence of skew and sparsity A Krishnan, A Sharma, H Sundaram Proceedings of the 27th ACM International Conference on Information and …, 2018 | 22 | 2018 |
| Beyond localized graph neural networks: An attributed motif regularization framework A Sankar, J Wang, A Krishnan, H Sundaram 2020 IEEE International Conference on Data Mining (ICDM), 472-481, 2020 | 18 | 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 |
| Ranking User-Generated Content via Multi-Relational Graph Convolution K Narang, A Krishnan, J Wang, C Yang, H Sundaram, C Sutter ACM SIGIR 2021, 2021 | 11* | 2021 |
| Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks Y Xiao, A Krishnan, H Sundaram The Web Conference 2020, 2020 | 11 | 2020 |
| Rase: Relationship aware social embedding A Sankar, A Krishnan, Z He, C Yang 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 10 | 2019 |
| Select, link and rank: Diversified query expansion and entity ranking using wikipedia A Krishnan, D Padmanabhan, S Ranu, S Mehta Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016 | 8 | 2016 |
| Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems J Wang, A Krishnan, H Sundaram, Y Li arXiv preprint arXiv:2309.01188, 2023 | 6 | 2023 |
| Improving latent user models in online social media A Krishnan, A Sharma, H Sundaram arXiv preprint arXiv:1711.11124, 2017 | 6 | 2017 |
| Improving Marketing Interactions by Mining Sequences AK Ritwik Sinha, Sanket Mehta, Tapan Bohra Web Information Systems Engineering – WISE 2015 9418 (Lecture Notes in …, 2015 | 5* | 2015 |
| Audience-Centric Natural Language Generation via Style Infusion S Moorjani, A Krishnan, H Sundaram, E Maslowska, A Sankar ACL EMNLP 2022, 2022 | 4 | 2022 |
| 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 |
| Multi-task knowledge graph representations via residual functions A Krishnan, M Das, M Bendre, F Wang, H Yang, H Sundaram Pacific-Asia Conference on Knowledge Discovery and Data Mining, 262-275, 2022 | 3 | 2022 |
hari sundaramUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
