abdulkadir.jpg
Abdulkadir
Çelikkanat

Richard Petersens Plads

Building 321, Room 129

2800 Kgs. Lyngby

Mobile: (+45) 71 78 84 91

I am a postdoctoral researcher at the Section for Cognitive Section, DTU Compute. I have been working on learning the structure and dynamics of dynamic complex networks under the guidance of Prof. Sune Lehmann and Prof. Morten Mørup.

I obtained my Ph.D. degree under the supervision of Assist. Prof. Fragkiskos Malliaros and Prof. Nikos Paragios at CentraleSupelec, University of Paris-Saclay, where I was also a member of the Centre for Visual Computing and the Inria OPIS team. My doctoral research was oriented around developing representation learning methods for graph-structured data.

Before my Ph.D. studies, I received my Bachelor degree in Mathematics and my Master’s degree in Computer Engineering from Boğaziçi University. I worked with Prof. Ali Taylan Cemgil during my Master’s thesis studies on random graphs with prescribed degree distributions and their applications.

News

Oct 21, 2023 Our continuous-time model was accepted to TGL Workshop @ NeurIPS 2023!
Aug 28, 2023 Our model, HBDM, has been accepted for publication in IEEE TKDE!
Apr 14, 2023 The works, PiVeM and SLIM have been selected for parallel talks to IC2S2 2023!
Jan 20, 2023 Our paper, SLIM, has been accepted to AISTATS23!

Recent Publications

  1. A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
    Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, and 1 more author
    In , Aug 2023
    DOI arXiv Code (Accepted)
  2. Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
    Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, and 5 more authors
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
    arXiv Code (Accepted)
  3. HM-LDM: A Hybrid-Membership Latent Distance Model
    Nikolaos Nakis, Abdulkadir Çelikkanat, and Morten Mørup
    In Complex Networks and Their Applications XI, 2023
    DOI arXiv Code Slides (Oral Presentation)
  4. Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
    Abdulkadir Çelikkanat, Nikolaos Nakis, and Morten Mørup
    In Proceedings of the First Learning on Graphs Conference, Dec 2022
    Link arXiv Code Poster Project Website
  5. NodeSig: Binary Node Embeddings via Random Walk Diffusion
    Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, and Fragkiskos D. Malliaros
    In International Conference on Advances in Social Networks Analysis and Mining, Dec 2022
    arXiv Code Slides Project Website (Oral Presentation)