Saket Gurukar

26 papers A* 1A 2B 2Misc 2Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs.
ICDM
Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy
2025 J jnl
Long-VMNet: Accelerating Long-Form Video Understanding via Fixed Memory.
CoRR
Saket Gurukar, Asim Kadav
2024 J jnl
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs.
CoRR
Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2023 — conf
Efficient Fair Graph Representation Learning Using a Multi-level Framework.
WWW (Companion Volume)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2023 — conf
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning.
EAAMO
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2023 B conf
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks.
ASONAM
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2023 J jnl
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks.
CoRR
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2022 J jnl
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.
Trans. Mach. Learn. Res.
Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
2022 — conf
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification.
EAAMO
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022 J jnl
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning.
CoRR
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022 J jnl
FairMod: Fair Link Prediction and Recommendation via Graph Modification.
CoRR
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022 J jnl
Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents.
Appl. Netw. Sci.
Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
2022 J jnl
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.
CoRR
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
2022 J jnl
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.
Proc. VLDB Endow.
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
2022 J jnl
WebMILE: Democratizing Network Representation Learning at Scale.
Proc. VLDB Endow.
Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
2021 Misc conf
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding.
HiPC
Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy
2021 B conf
LocationTrails: a federated approach to learning location embeddings.
ASONAM
Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi
2021 A conf
MILE: A Multi-Level Framework for Scalable Graph Embedding.
ICWSM
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
2020 A conf
Towards Quantifying the Distance between Opinions.
ICWSM
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
2020 J jnl
Towards Quantifying the Distance between Opinions.
CoRR
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
2019 J jnl
Network Representation Learning: Consolidation and Renewed Bearing.
CoRR
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
2019 — conf
Time-series as Background Data for Relating Medical Diagnoses Terms.
BCB
Saket Gurukar, Srikanta Bedathur
2019 J jnl
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods.
CoRR
Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
2018 J jnl
MILE: A Multi-Level Framework for Scalable Graph Embedding.
CoRR
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
2015 — conf
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.
SIGMOD Conference
Saket Gurukar, Sayan Ranu, Balaraman Ravindran
2014 Misc conf
Temporal analysis of telecom call graphs.
COMSNETS
Saket Gurukar, Balaraman Ravindran