| Adversarial graph augmentation to improve graph contrastive learning S Suresh, P Li, C Hao, J Neville Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 299 | 2021 |
| Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns S Suresh, V Budde, J Neville, P Li, J Ma 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 1541–1551, 2021 | 115 | 2021 |
| A hybrid model for learning embeddings and logical rules simultaneously from knowledge graphs S Suresh, J Neville 2020 IEEE International Conference on Data Mining (ICDM), 1280-1285, 2020 | 6 | 2020 |
| Towards quantifying the amount of uncollected garbage through image analysis S Suresh, T Sharma, PT K, S V, D Sitaram Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | 6 | 2016 |
| Enforcing secure data sharing in web Application development frameworks like Django through information flow control S Susheel, NV Narendra Kumar, RK Shyamasundar Information Systems Security: 11th International Conference, ICISS 2015 …, 2015 | 5 | 2015 |
| VoC-DL: revisiting voice of customer using deep learning S Suresh, GR TS, V Gopinath Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 4 | 2018 |
| Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs S Suresh, M Shrivastava, A Mukherjee, J Neville, P Li Proceedings of the ACM Web Conference 2023, 567-577, 2023 | 3 | 2023 |
| Federated graph representation learning using self-supervision S Suresh, D Godbout, A Mukherjee, M Shrivastava, J Neville, P Li arXiv preprint arXiv:2210.15120, 2022 | 3 | 2022 |
| OCTAL: Graph Representation Learning for LTL Model Checking P Mukherjee, H Yin, S Suresh, T Rompf arXiv preprint arXiv:2207.11649, 2022 | 2 | 2022 |
| Real Time Video Content Based Contextual Advertisement T Sharma, S Susheel IEEE, 98-101, 2016 | 1 | 2016 |
| Models and Representation Learning Mechanisms for Graph Data S Suresh Purdue University Graduate School, 2022 | | 2022 |
Jennifer NevilleMicrosoft Research, Purdue University在 microsoft.com 的电子邮件经过验证
