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Saket Gurukar
Saket Gurukar
Staff Researcher, Samsung Research America
Verified email at osu.edu - Homepage
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
1132021
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
842015
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress
S Gurukar, P Vijayan, B Ravindran, A Srinivasan, G Bajaj, C Cai, ...
25*2022
Fairegm: Fair link prediction and recommendation via emulated graph modification
S Current, Y He, S Gurukar, S Parthasarathy
Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022
15*2022
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: Proceedings of the 11th Conference on Complex Networks …, 2020
102020
A machine learning model for nowcasting epidemic incidence
SY Sahai, S Gurukar, WR KhudaBukhsh, S Parthasarathy, GA Rempała
Mathematical Biosciences 343, 108677, 2022
92022
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
92021
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
62022
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
52021
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
Temporal analysis of telecom call graphs
S Gurukar, B Ravindran
2014 Sixth International Conference on Communication Systems and Networks …, 2014
52014
WebMILE: democratizing network representation learning at scale
Y He, Y Zhang, S Gurukar, S Parthasarathy
Proceedings of the VLDB Endowment 15 (12), 2022
32022
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning
Y He, S Gurukar, S Parthasarathy
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
2*2023
Efficient Fair Graph Representation Learning Using a Multi-level Framework
Y He, S Gurukar, S Parthasarathy
Companion Proceedings of the ACM Web Conference 2023, 298-301, 2023
22023
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
22022
Analysis of connection patterns in a communication network
S Shivashankar, A Dauneria, S Gurukar, S Ranu, B Ravindran
US Patent 10,375,593, 2019
12019
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
Y Zhang, Y He, S Gurukar, S Parthasarathy
arXiv preprint arXiv:2404.00816, 2024
2024
Defect prediction operation
A Durga, S Gurukar
US Patent 11,934,298, 2024
2024
Mind the Gap: Constraining Physics-Informed Neural Operators to Improve the Quality of Auto-Regressive Predictions
SF Current, VJ Shinde, S Gurukar, DV Gaitonde, S Parthasarathy
AIAA SCITECH 2024 Forum, 0772, 2024
2024
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
S Gurukar, SB Venkatakrishnan, B Ravindran, S Parthasarathy
arXiv preprint arXiv:2306.14357, 2023
2023
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