Papers

  1. Using Motif Transitions for Temporal Graph Generation
    Penghang Liu, A. Erdem Sarıyüce
     SIGKDD 2023 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining

  2. On Cohesively Polarized Communities in Signed Networks [pdf] [code]
    Jason Niu, A. Erdem Sarıyüce
     CySoC 2023 - International Workshop on Cyber Social Threats, in conjunction with the Web Conference

  3. Counting Induced 6-cycles in Bipartite Networks [pdf]
    Jason Niu, Jaroslaw Zola, A. Erdem Sarıyüce
     ICPP 2022 - International Conference on Parallel Processing

  4. Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices [pdf]
    Vicky Zheng, A. Erdem Sarıyüce, Jaroslaw Zola
     TCBB 2022 - IEEE/ACM Transactions on Computational Biology and Bioinformatics

  5. Temporal Motifs in Patent Opposition and Collaboration Networks [pdf]
    Penghang Liu, Naoki Masuda, Tomomi Kito, A. Erdem Sarıyüce
     SciRep 2022 - Scientific Reports, 12, 1917

  6. Temporal Network Motifs: Models, Limitations, Evaluation [pdf]
    Penghang Liu, Valerio Guarrasi, A. Erdem Sarıyüce
     TKDE 2021 - IEEE Transactions on Knowledge and Data Engineering

  7. Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks [pdf] [code] [slides] [talk]
    A. Erdem Sarıyüce
     WWW 2021 - The Web Conference

  8. Characterizing and Utilizing the Interplay Between Core and Truss Decompositions [pdf]
    Penghang Liu, A. Erdem Sarıyüce
     BigData 2020 - IEEE International Conference on Big Data

  9. Using Large Cliques for Hierarchical Dense Subgraph Discovery [pdf]
    Moniruzzaman Monir, A. Erdem Sarıyüce,
    CSoNET 2020 - International Conference on Computational Data and Social Networks

  10. Identifying Taxonomic Units in Metagenomic DNA Streams [pdf]
    Vicky Zheng, A. Erdem Sarıyüce, Jaroslaw Zola
     BIOKDD 2020 - Workshop on Data Mining and Bioinformatics, in conjunction with SIGKDD

  11. Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core [pdf]
    Ricky Laishram, A. Erdem Sarıyüce, Tina Eliassi-Rad, Ali Pınar, Sucheta Soundarajan
     SDM 2020 - SIAM International Conference on Data Mining

  12. FLEET: Butterfly Estimation from a Bipartite Graph Stream [pdf] [code]
    Seyed-Vahid Sanei-Mehri, Yu Zhang, A. Erdem Sarıyüce, Srikanta Tirthapura
     CIKM 2019 - ACM International Conference on Information and Knowledge Management

  13. Local Algorithms for Hierarchical Dense Subgraph Discovery [pdf] [code]
    A. Erdem Sarıyüce, C. Seshadhri, Ali Pınar
     VLDB 2019 - International Conference on Very Large Data Bases

  14. Analysis of Core and Truss Decompositions on Real-World Networks
    Penghang Liu, A. Erdem Sarıyüce
     MLG 2019 - Workshop on Mining and Learning with Graphs, in conjunction with SIGKDD

  15. Local Detection of Critical Nodes in Active Graphs [pdf]
    M. Yusuf Özkaya, A. Erdem Sarıyüce, Ali Pınar, Ümit V. Çatalyürek
     ASONAM 2018 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

  16. Butterfly Counting in Bipartite Networks [pdf]
    Seyed-Vahid Sanei-Mehri, A. Erdem Sarıyüce, Srikanta Tirthapura
     SIGKDD 2018 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining

  17. Measuring and Improving the Core Resilience of Networks [pdf]
    Ricky Laishram, A. Erdem Sarıyüce, Tina Eliassi-Rad, Ali Pınar, Sucheta Soundarajan
     WWW 2018 - The Web Conference

  18. Peeling Bipartite Networks for Dense Subgraph Discovery [pdf] [code]
    A. Erdem Sarıyüce, Ali Pınar
     WSDM 2018 - ACM International Conference on Web Search and Data Mining

  19. Nucleus Decompositions for Identifying Hierarchy of Dense Subgraphs [pdf]
    A. Erdem Sarıyüce, C. Seshadhri, Ali Pınar, Ümit V. Çatalyürek
     TWEB 2017 - ACM Transactions on the Web, 11(3), 16:1--16:27

  20. Graph Manipulations for Fast Centrality Computation [pdf]
    A. Erdem Sarıyüce, Kamer Kaya, Erik Saule, Ümit V. Çatalyürek
     TKDD 2017 - ACM Transactions on Knowledge Discovery from Data, 11(3), 26:1--26:25

  21. Fast Hierarchy Construction for Dense Subgraphs [pdf]
    A. Erdem Sarıyüce, Ali Pınar
     VLDB 2017 - International Conference on Very Large Data Bases

  22. Consistent Regions: Guaranteed Tuple Processing in IBM Streams [pdf]
    Gabriela Jacques-Silva, Fang Zheng, Daniel Debrunner, Kun-Lung Wu, Victor Dogaru, Eric Johnson, Michael Spicer, A. Erdem Sarıyüce
     VLDB 2016 - International Conference on Very Large Data Bases, Industrial Track

  23. Incremental k-core Decomposition: Algorithms and Evaluation [pdf] [code]
    A. Erdem Sarıyüce, Buğra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
     VLDBJ 2016 - Very Large Data Bases Journal, 25(3), 425-447

  24. SONIC: Streaming Overlapping Community Detection [pdf]
    A. Erdem Sarıyüce, Buğra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
     DAMI 2016 - Data Mining and Knowledge Discovery, 30(4), 819-847

  25. Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions [pdf] [code]
    A. Erdem Sarıyüce, C. Seshadhri, Ali Pınar, Ümit V. Çatalyürek
     WWW 2015 - International World Wide Web Conference [Best Paper Runner-up Award]

  26. Incremental Closeness Centrality in Distributed Memory [pdf]
    A. Erdem Sarıyüce, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
     ParCo 2015 - Parallel Computing, 47, 3-18

  27. Regularizing Graph Centrality Computations [pdf]
    A. Erdem Sarıyüce, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
     JPDC 2015 - Journal of Parallel and Distributed Computing, 76, 106-119

  28. Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures [pdf]
    A. Erdem Sarıyüce, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
     MTAAP 2014 - Workshop on Multithreaded Architectures and Applications, in conjunction with IPDPS

  29. Incremental Algorithms for Closeness Centrality [pdf]
    A. Erdem Sarıyüce, Kamer Kaya, Erik Saule, Ümit V. Çatalyürek
     BigData 2013 - IEEE International Conference on Big Data

  30. STREAMER: A Distributed Framework for Incremental Closeness Centrality Computation [pdf]
    A. Erdem Sarıyüce, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
     Cluster 2013 - IEEE Cluster Conference

  31. Streaming Algorithms for k-core Decomposition [pdf] [code]
    A. Erdem Sarıyüce, Buğra Gedik, Gabriela Jacques-Silva, Kun-Lung Wu, Ümit V. Çatalyürek
     VLDB 2013 - International Conference on Very Large Data Bases

  32. Betweenness Centrality on GPUs and Heterogeneous Architectures [pdf] [code]
    A. Erdem Sarıyüce, Kamer Kaya, Erik Saule, Ümit V. Çatalyürek
     GPGPU 2013 - Workshop on General Purpose Processing Using GPUs, in conjunction with ASPLOS

  33. Shattering and Compressing Networks for Betweenness Centrality [pdf] [code]
    A. Erdem Sarıyüce, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
     SDM 2013 - SIAM International Conference on Data Mining

  34. Scalable Hybrid Implementation of Graph Coloring using MPI and OpenMP [pdf]
    A. Erdem Sarıyüce, Erik Saule, Ümit V. Çatalyürek
     PCO 2012 - Workshop on Parallel Computing and Optimization, in conjunction with IPDPS

  35. Improving Graph Coloring on Distributed Memory Parallel Computers [pdf]
    A. Erdem Sarıyüce, Erik Saule, Ümit V. Çatalyürek
     HiPC 2011 - International Conference on High Performance Computing

    Ph.D. Thesis

  1. Fast Algorithms for Large-Scale Network Analytics [pdf]
    A. Erdem Sarıyüce
     Ph.D. Dissertation 2015 - Department of Computer Science and Engineering, The Ohio State University

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