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Susheel Suresh
Susheel Suresh
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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
2682021
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
1012021
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
62020
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
62016
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
52015
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
42018
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
22022
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
12023
OCTAL: Graph Representation Learning for LTL Model Checking
P Mukherjee, H Yin, S Suresh, T Rompf
arXiv preprint arXiv:2207.11649, 2022
12022
Real Time Video Content Based Contextual Advertisement
T Sharma, S Susheel
IEEE, 98-101, 2016
12016
Models and Representation Learning Mechanisms for Graph Data
S Suresh
Purdue University Graduate School, 2022
2022
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