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

• 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

Ph.D. students

• Penghang Liu

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