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Saket Gurukar
Saket Gurukar
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Title
Cited by
Cited by
Year
Mile: A multi-level framework for scalable graph embedding
J Liang, S Gurukar, S Parthasarathy
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
672021
Commit: A scalable approach to mining communication motifs from dynamic networks
S Gurukar, S Ranu, B Ravindran
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
652015
Network representation learning: Consolidation and renewed bearing
S Gurukar, P Vijayan, A Srinivasan, G Bajaj, C Cai, M Keymanesh, ...
arXiv preprint arXiv:1905.00987, 2019
202019
Twitter watch: Leveraging social media to monitor and predict collective-efficacy of neighborhoods
M Keymanesh, S Gurukar, B Boettner, C Browning, C Calder, ...
Complex Networks XI, 197-211, 2020
62020
Towards quantifying the distance between opinions
S Gurukar, D Ajwani, S Dutta, J Lauri, S Parthasarathy, A Sala
Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020
52020
A machine learning model for nowcasting epidemic incidence
SY Sahai, S Gurukar, WR KhudaBukhsh, S Parthasarathy, GA Rempała
Mathematical Biosciences 343, 108677, 2022
42022
Defect prediction operation
A Durga, S Gurukar
US Patent 11,086,761, 2021
42021
Locationtrails: a federated approach to learning location embeddings
S Gurukar, S Parthasarathy, R Ramnath, C Calder, S Moosavi
Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021
22021
Temporal analysis of telecom call graphs
S Gurukar, B Ravindran
2014 Sixth International Conference on Communication Systems and Networks …, 2014
22014
FairMod: Fair Link Prediction and Recommendation via Graph Modification
S Current, Y He, S Gurukar, S Parthasarathy
arXiv preprint arXiv:2201.11596, 2022
12022
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding
Y He, S Gurukar, P Kousha, H Subramoni, DK Panda, S Parthasarathy
2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021
12021
A Generic Approach to Scale Graph Embedding Methods
J Liang, S Gurukar, S Parthasarathy
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
12018
Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents
S Gurukar, B Boettner, C Browning, C Calder, S Parthasarathy
Applied Network Science 7 (1), 1-24, 2022
2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
S Gurukar, N Pancha, A Zhai, E Kim, S Hu, S Parthasarathy, C Rosenberg, ...
arXiv preprint arXiv:2205.10666, 2022
2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification
S Current, Y He, S Gurukar, S Parthasarathy
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2022
2022
WebMILE: Democratizing Network Representation Learning at Scale
Y He, Y Zhang, S Gurukar, S Parthasarathy
Proceedings of the VLDB Endowment 15 (12), 2022
2022
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress
S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ...
2022
Defect Prediction Operation
A Durga, S Gurukar
US Patent App. 17/365,145, 2021
2021
Automatically suggesting a temporal opportunity for and assisting a writer in writing one or more sequel articles via artificial intelligence
P Lohia, S Gurukar, R Gupta, H Gupta
US Patent 10,599,783, 2020
2020
Time-series as Background Data for Relating Medical Diagnoses Terms
S Gurukar, S Bedathur
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
2019
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