Çigdem Aslay

Orcid: 0000-0002-5556-8977

According to our database1, Çigdem Aslay authored at least 19 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ActUp: Analyzing and Consolidating tSNE and UMAP.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Maximizing the Diversity of Exposure in a Social Network.
IEEE Trans. Knowl. Data Eng., 2022

Workload-Aware Materialization of Junction Trees.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
TipTap: Approximate Mining of Frequent <i>k</i>-Subgraph Patterns in Evolving Graphs.
ACM Trans. Knowl. Discov. Data, 2021

Efficient and Effective Algorithms for Revenue Maximization in Social Advertising.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Workload-aware Materialization for Efficient Variable Elimination on Bayesian Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Learning Ideological Embeddings from Information Cascades.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Co-exposure Maximization in Online Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Query the model: precomputations for efficient inference with Bayesian Networks.
CoRR, 2019

Discovering Interesting Cycles in Directed Graphs.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Influence Maximization in Online Social Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Robust Cascade Reconstruction by Steiner Tree Sampling.
Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Frequent Patterns in Evolving Graphs.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Revenue Maximization in Incentivized Social Advertising.
Proc. VLDB Endow., 2017

Querying Intimate-Core Groups in Weighted Graphs.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

2016
From viral marketing to social advertising: ad allocation under social influence.
PhD thesis, 2016

2015
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret.
Proc. VLDB Endow., 2015

2014
Online Topic-aware Influence Maximization Queries.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
Competition-based networks for expert finding.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013


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