Saket Gurukar

According to our database, Saket Gurukar authored at least 20 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs.

Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

CoRR, 2024

2023

Efficient Fair Graph Representation Learning Using a Multi-level Framework.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks.

Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.

Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel

Trans. Mach. Learn. Res., 2022

WebMILE: Democratizing Network Representation Learning at Scale.

Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy

Proc. VLDB Endow., 2022

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.

Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec

Proc. VLDB Endow., 2022

FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

CoRR, 2022

FairMod: Fair Link Prediction and Recommendation via Graph Modification.

Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

CoRR, 2022

Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents.

Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy

Appl. Netw. Sci., 2022

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification.

Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

MILE: A Multi-Level Framework for Scalable Graph Embedding.

Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding.

Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

LocationTrails: a federated approach to learning location embeddings.

Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Towards Quantifying the Distance between Opinions.

Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2019

Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods.

Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy

CoRR, 2019

Network Representation Learning: Consolidation and Renewed Bearing.

Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy

CoRR, 2019

Time-series as Background Data for Relating Medical Diagnoses Terms.

Saket Gurukar, Srikanta Bedathur

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2015

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.

Saket Gurukar, Sayan Ranu, Balaraman Ravindran

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Temporal analysis of telecom call graphs.

Saket Gurukar, Balaraman Ravindran

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014