A. Erdem Sarıyüce*

Assistant Professor
Department of Computer Science & Engineering
University at Buffalo

erdem at buffalo dot edu
323 Davis Hall, Buffalo, NY 14260

I am an assistant professor in the Department of Computer Science and Engineering at the University at Buffalo. My research is on large-scale graph mining and management. I develop algorithms to enable practical and insightful graph analytics for the real-world data which can be large, streaming, incomplete, and noisy.

Previously, I was the John von Neumann Post-doctoral Fellow at Sandia National Labs in Livermore, CA. I got my Ph.D. from the Computer Science and Engineering Department at the Ohio State University under the supervision of Ümit V. Çatalyürek (now at Georgia Tech).

Recent News

  • 09/2021: New grant: 'Fast Tools for Complex Event Detection over Bipartite Graph Streams', thanks to NSF!
  • 05/2021: New paper: 'Temporal Network Motifs: Models, Limitations, Evaluation', to appear in TKDE (arXiv version)
  • 01/2021: New paper: 'Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks', to appear in WWW'21
  • 01/2021: New award: University at Buffalo SEAS Early Career Researcher of the Year, 2020
  • 09/2020: New pre-print: 'Temporal Network Motifs: Models, Limitations, Evaluation', on arXiv.
  • 08/2020: New award: Distinguished Review Board Member at PVLDB 2020
  • 03/2020: New grant: JP Morgan Chase and Company, Faculty Research Award
  • 12/2019: New paper: 'Residual Core Maximization: An Efficient Algorithm for Maximizing the Size of the k-Core', to appear in SDM'20.
  • 09/2019: New grant: 'Resilience Analysis for Core Decomposition in Real-World Networks', thanks to NSF!
  • 08/2019: New paper: 'FLEET: Butterfly Estimation from a Bipartite Graph Stream', to appear in CIKM'19.
  • 06/2019: New paper with my student Penghang Liu: 'Analysis of Core and Truss Decomposition on Real-World Networks', to appear in MLG workshop (in conj. with SIGKDD'19).
  • 08/2018: New paper: 'Local Algorithms for Hierarchical Dense Subgraph Discovery', to appear in VLDB'19.
  • 06/2018: New paper: 'Local Detection of Critical Nodes in Active Graphs', to appear in ASONAM'18.
  • 05/2018: New paper: 'Butterfly Counting in Bipartite Networks', to appear in SIGKDD'18.

Selected Publications (full list)

  • 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

  • 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

  • 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

  • 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]

  • 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

  • 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

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