publications

  1. Robustness of Truss Decomposition and Implications for GNN-based Edge Classification
    J. Hossain, S. Soundarajan, and A. E. Sarıyüce
    GTA3 2025 - Workshop on Graph Techniques for Adversarial Activity Analytics, in conjunction with ICDM
  2. Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms
    P. Liu, B. Altun, R. Acharyya, R. Tillman, S. Kimura, N. Masuda, and A. E. Sarıyüce
    ASONAM 2025 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
  3. Characterizing and Locating Polarized Communities in Signed Networks
    J. Niu, and A. E. Sarıyüce
    KAIS 2025 - Knowledge and Information Systems
  4. A Powerful Lens for Temporal Network Analysis: Temporal Motifs
    A. E. Sarıyüce
    DiscoverData 2025 - Discover Data
  5. Density-aware Walks for Coordinated Campaign Detection
    A. Gopalakrishnan, J. Hossain, T. Elmas, and A. E. Sarıyüce
    ECML/PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  6. Fast Counting and Utilizing Induced 6-Cycles in Bipartite Networks
    J. Niu, J. Zola, and A. E. Sarıyüce
    TKDE 2025 - IEEE Transactions on Knowledge and Data Engineering
  7. Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
    A. Gopalakrishnan, J. Hossain, T. Elmas, and A. E. Sarıyüce
    ICWSM 2025 - International Conference on Web and Social Media
  8. Curated and Asymmetric Exposure: A Case Study of Partisan Talk during COVID on Twitter
    Z. An, J. Breuhaus, J. Niu, A. E. Sarıyüce, and K. Joseph
    ICWSM 2024 - International Conference on Web and Social Media
  9. From Words to Actions: A Comprehensive Approach to Identifying Incel Behavior on Reddit
    A. Demirbas, J. Hossain, and A. E. Sarıyüce
    DCAI 2024 - International Workshop on Data-Centric AI, in conjunction with BigData
  10. Retrieving Top-k Hyperedge Triplets: Models and Applications
    J. Niu, I. Amburg, S. Aksoy, and A. E. Sarıyüce
    BigData 2024 - IEEE International Conference on Big Data
  11. Skeletal Cores and Graph Resilience
    D. Honcharov, A. E. Sarıyüce, R. Laishram, and S. Soundarajan
    ECML/PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  12. Quantifying Node-Based Core Resilience
    J. Hossain, S. Soundarajan, and A. E. Sarıyüce
    ECML/PKDD 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
  13. Using Motif Transitions for Temporal Graph Generation
    P. Liu, and A. E. Sarıyüce
    SIGKDD 2023 - ACM International Conference on Knowledge Discovery & Data Mining
  14. On Cohesively Polarized Communities in Signed Networks
    J. Niu, and A. E. Sarıyüce
    CySoc 2023 - International Workshop on Cyber Social Threats, in conjunction with WWW
  15. Counting Induced 6-Cycles in Bipartite Graphs
    J. Niu, J. Zola, and A. E. Sarıyüce
    ICPP 2022 - International Conference on Parallel Processing
  16. Temporal Motifs in Patent Opposition and Collaboration Networks
    P. Liu, N. Masuda, T. Kito, and A. E. Sarıyüce
    SciRep 2022 - Scientific Reports
  17. Identifying Taxonomic Units in Metagenomic DNA Streams on Mobile Devices
    V. Zheng, A. E. Sarıyüce, and J. Zola
    TCBB 2022 - IEEE/ACM Transactions on Computational Biology and Bioinformatics
  18. Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
    A. E. Sarıyüce
    WWW 2021 - The Web Conference
  19. Temporal Network Motifs: Models, Limitations, Evaluation
    P. Liu, V. Guarrasi, and A. E. Sarıyüce
    TKDE 2021 - IEEE Transactions on Knowledge and Data Engineering
  20. Using Large Cliques for Hierarchical Dense Subgraph Discovery
    M. Monir, and A. E. Sarıyüce
    CSoNET 2020 - International Conference on Computational Data and Social Networks
  21. Characterizing and Utilizing the Interplay Between Core and Truss Decompositions
    P. Liu, and A. E. Sarıyüce
    BigData 2020 - IEEE International Conference on Big Data
  22. Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core
    R. Laishram, A. E. Sarıyüce, T. Eliassi-Rad, A. Pinar, and S. Soundarajan
    SDM 2020 - SIAM International Conference on Data Mining
  23. Identifying Taxonomic Units in Metagenomic DNA Streams
    V. Zheng, A. E. Sarıyüce, and J. Zola
    BIOKDD 2020 - International Workshop on Data Mining in Bioinformatics, in conjunction with SIGKDD
  24. FLEET: Butterfly Estimation from a Bipartite Graph Stream
    S. Sanei-Mehri, Y. Zhang, A. E. Sarıyüce, and S. Tirthapura
    CIKM 2019 - ACM International Conference on Information and Knowledge Management
  25. Analysis of Core and Truss Decompositions on Real-world Networks
    P. Liu, and A. Sarıyüce
    MLG 2019 - International Workshop on Mining and Learning with Graphs, in conjunction with SIGKDD
  26. Local Algorithms for Hierarchical Dense Subgraph Discovery
    A. E. Sarıyüce, C. Seshadhri, and A. Pinar
    VLDB 2019 - International Conference on Very Large Data Bases
  27. Butterfly Counting in Bipartite Networks
    S. Sanei-Mehri, A. E. Sarıyüce, and S. Tirthapura
    SIGKDD 2018 - ACM International Conference on Knowledge Discovery & Data Mining
  28. Local Detection of Critical Nodes in Active Graphs
    M. Özkaya, A. E. Sarıyüce, A. Pinar, and Ü. Çatalyürek
    ASONAM 2018 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
  29. Measuring and Improving the Core Resilience of Networks
    R. Laishram, A. E. Sarıyüce, T. Eliassi-Rad, A. Pinar, and S. Soundarajan
    WWW 2018 - The Web Conference
  30. Peeling Bipartite Networks for Dense Subgraph Discovery
    A. E. Sarıyüce, and A. Pinar
    WSDM 2018 - ACM International Conference on Web Search and Data Mining
  31. Fast Hierarchy Construction for Dense Subgraphs
    A. E. Sarıyüce, and A. Pinar
    VLDB 2017 - International Conference on Very Large Data Bases
  32. Nucleus Decompositions for Identifying Hierarchy of Dense Subgraphs
    A. E. Sarıyüce, C. Seshadhri, A. Pinar, and Ü. Çatalyürek
    TWEB 2017 - ACM Transactions on the Web
  33. Graph Manipulations for Fast Centrality Computation
    A. E. Sarıyüce, K. Kaya, E. Saule, and Ü. Çatalyürek
    TKDD 2017 - ACM Transactions on Knowledge Discovery from Data
  34. SONIC: Streaming Overlapping Community Detection
    A. E. Sarıyüce, B. Gedik, G. Jacques-Silva, K. Wu, and Ü. Çatalyürek
    DAMI 2016 - Data Mining and Knowledge Discovery
  35. Incremental k-core Decomposition: Algorithms and Evaluation
    A. E. Sarıyüce, B. Gedik, G. Jacques-Silva, K. Wu, and Ü. Çatalyürek
    VLDBJ 2016 - The VLDB Journal
  36. Consistent Regions: Guaranteed Tuple Processing in IBM Streams
    G. Jacques-Silva, F. Zheng, D. Debrunner, K. Wu, V. Dogaru, E. Johnson, M. Spicer, and A. E. Sarıyüce
    VLDB 2016 - International Conference on Very Large Data Bases, Industrial Track
  37. Incremental Closeness Centrality in Distributed Memory
    A. E. Sarıyüce, E. Saule, K. Kaya, and Ü. Çatalyürek
    ParCo 2015 - Parallel Computing
  38. Finding the Hierarchy of Dense Subgraphs using Nucleus Decompositions
    A. E. Sarıyüce, C. Seshadhri, A. Pinar, and Ü. Çatalyürek
    WWW 2015 - International Conference on World Wide Web
  39. Regularizing Graph Centrality Computations
    A. E. Sarıyüce, E. Saule, K. Kaya, and Ü. Çatalyürek
    JPDC 2015 - Journal of Parallel and Distributed Computing
  40. Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-core Architectures
    A. E. Sarıyüce, E. Saule, K. Kaya, and Ü. Çatalyürek
    MTAAP 2014 - Workshop on Multithreaded Architectures and Applications, in conjunction with IPDPS
  41. Incremental Algorithms for Closeness Centrality
    A. E. Sarıyüce, K. Kaya, E. Saule, and Ü. Çatalyürek
    BigData 2013 - IEEE International Conference on Big Data
  42. STREAMER: A Distributed Framework for Incremental Closeness Centrality Computation
    A. E. Sarıyüce, E. Saule, K. Kaya, and Ü. Çatalyürek
    Cluster 2013 - IEEE International Conference on Cluster Computing
  43. Streaming Algorithms for k-core Decomposition
    A. E. Sarıyüce, B. Gedik, G. Jacques-Silva, K. Wu, and Ü. Çatalyürek
    VLDB 2013 - International Conference on Very Large Data Bases
  44. Shattering and Compressing Networks for Betweenness Centrality
    A. E. Sarıyüce, E. Saule, K. Kaya, and Ü. Çatalyürek
    SDM 2013 - SIAM Data Mining Conference
  45. Betweenness Centrality on GPUs and Heterogeneous Architectures
    A. E. Sarıyüce, K. Kaya, E. Saule, and Ü. Çatalyürek
    GPGPU 2013 - Workshop on General Purpose Processor Using GPUs, in conjunction with ASPLOS
  46. Scalable Hybrid Implementation of Graph Coloring using MPI and OpenMP
    A. E. Sarıyüce, E. Saule, and Ü. Çatalyürek
    PCO 2012 - Workshop on Parallel Computing and Optimization, in conjunction with IPDPS
  47. Improving Graph Coloring on Distributed-memory Parallel Computers
    A. E. Sarıyüce, E. Saule, and Ü. Çatalyürek
    HiPC 2011 - International Conference on High Performance Computing