Saket Gurukar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Dynamic Networks

Link Prediction

Background Information

Graph Representation

Top Venues

Proc. VLDB Endow.

Publications

Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR (2024)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM (2023)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO (2023)
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR (2023)
Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15 (12) (2022)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO (2022)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR (2022)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR (2022)
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR (2022)
Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022)
Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents. Appl. Netw. Sci. 7 (1) (2022)
Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. 16 (4) (2022)
Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC (2021)
Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi
LocationTrails: a federated approach to learning location embeddings. ASONAM (2021)
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
MILE: A Multi-Level Framework for Scalable Graph Embedding. ICWSM (2021)
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
Towards Quantifying the Distance between Opinions. CoRR (2020)
Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
Towards Quantifying the Distance between Opinions. ICWSM (2020)
Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
Network Representation Learning: Consolidation and Renewed Bearing. CoRR (2019)
Saket Gurukar, Srikanta Bedathur
Time-series as Background Data for Relating Medical Diagnoses Terms. BCB (2019)
Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. CoRR (2019)
Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
MILE: A Multi-Level Framework for Scalable Graph Embedding. CoRR (2018)
Saket Gurukar, Sayan Ranu, Balaraman Ravindran
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference (2015)
Saket Gurukar, Balaraman Ravindran
Temporal analysis of telecom call graphs. COMSNETS (2014)