A. Erdem Sarıyüce*

Assistant Professor
Department of Computer Science & Engineering
University at Buffalo

erdem at buffalo dot edu
323 Davis Hall, Buffalo, NY 14260
Office hours: T 10-12 (F'19)

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).

I am looking for self-motivated and hardworking Ph.D. students who are interested in graph mining and management (to start in S'20 and F'20 semesters). If you are interested, please email me with your CV and transcript.

Recent News

  • 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

Ph.D. students


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