Saket Gurukar

Orcid: 0000-0002-1699-5714

According to our database1, Saket Gurukar authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs.
CoRR, 2024

2023
Efficient Fair Graph Representation Learning Using a Multi-level Framework.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks.
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.
Trans. Mach. Learn. Res., 2022

WebMILE: Democratizing Network Representation Learning at Scale.
Proc. VLDB Endow., 2022

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.
Proc. VLDB Endow., 2022

FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning.
CoRR, 2022

FairMod: Fair Link Prediction and Recommendation via Graph Modification.
CoRR, 2022

Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents.
Appl. Netw. Sci., 2022

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
MILE: A Multi-Level Framework for Scalable Graph Embedding.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

LocationTrails: a federated approach to learning location embeddings.
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.
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.
CoRR, 2019

Network Representation Learning: Consolidation and Renewed Bearing.
CoRR, 2019

Time-series as Background Data for Relating Medical Diagnoses Terms.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2015
COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks.
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.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014


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