About Me
Abdulkadir Çelikkanat‬
I'm currently a Ph.D. student at Centre for Visual Computing laboratory of CentraleSupélec, Paris-Saclay University under the supervision of Assistant Prof. Fragkiskos D. Malliaros and Prof. Nikos Paragios. Before my Ph.D. studies, I received my Bachelor degree in Mathematics and my Master's degree in Computer Engineering from Boğaziçi University, where I worked with Prof. Ali Taylan Cemgil.

My research mainly focuses on the analysis of graph-structured data. In particular, I am interested in graph representation learning with applications such as link prediction, classification, data visualization and network analysis.
Publications
2021
Topic-Aware Latent Models for Representation Learning on Networks
Abdulkadir Çelikkanat and Fragkiskos D. Malliaros.
Pattern Recognition Letters, Advances in graph-based pattern recognition, Elsevier, 2021.
[Doi: LINK] [Code: LINK]
NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings
Abdulkadir Çelikkanat, Apostolos N. Papadopoulos and Fragkiskos D. Malliaros.
Manuscript
[arXiv: PDF] [Code: LINK]
2020
Exponential Family Graph Embeddings
Abdulkadir Çelikkanat and Fragkiskos D. Malliaros.
AAAI Conference on Artificial Intelligence (AAAI), 3357-3364, New York City, New York, 2020.
[Doi: LINK] [arXiv: PDF] [Poster: LINK] [Code: LINK]
2019
Learning Node Embeddings with Exponential Family Distributions
Abdulkadir Çelikkanat and Fragkiskos D. Malliaros.
NeurIPS Graph Representation Learning Workshop (NeurIPS-GRL), Vancouver, Canada, 2019.
[arXiv: PDF] [Poster: LINK] [Code: LINK]
Kernel Node Embeddings
Abdulkadir Çelikkanat and Fragkiskos D. Malliaros.
7th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Ottawa, Canada, November 2019.
[Doi: LINK] [arXiv: PDF] [Code: LINK]
2018
TNE: A Latent Model for Representation Learning on Networks
Abdulkadir Çelikkanat and Fragkiskos D. Malliaros.
NeurIPS Relational Representation Learning Workshop (NeurIPS-R2L), Montréal, Canada, 2018.
[arXiv: PDF] [Poster: LINK] [Code: LINK]
2017
Sampling methods for random simple and bipartite graphs with prescribed degree sequences
Abdulkadir Çelikkanat
Master's Thesis, 2017.
[Thesis: PDF] [Presentation: LINK] [Code: LINK]



Teaching
ST2: Mathematical Modeling of Propagation Phenomena - Propagation on Graphs
1st year, CentraleSupélec, Winter 2020
Teaching Assistant
Machine Learning on Networks, Teaching assistant
AI Summer School Programme, CentraleSupélec, Summer 2019
Teaching Assistant
ST2: Mathematical Modeling of Propagation Phenomena - Propagation on Graphs
1st year, CentraleSupélec, Winter 2019
Teaching Assistant
NGSA: Network Science Analytics, Applied Math
3rd year, CentraleSupélec, M.Sc. in DSBA, and M.Sc. in AI, Winter 2019
Teaching Assistant
NGSA: Network Science Analytics, Applied Math
3rd year, CentraleSupélec, M.Sc. in DSBA, and M.Sc. in DSBA, Spring 2018
Teaching Assistant
Reviewer Activities
International Conference on Learning Representations (ICLR)
2021
Sub-reviewer
AAAI Conference on Artificial Intelligence (AAAI)
2020
Sub-reviewer
ECML-PKDD
2020
Reviewer
The Web Conference
2020
Sub-reviewer
International Conference on Artificial Neural Networks (ICANN)
2019
Co-reviewer
The Web Conference
2019
Sub-reviewer
International Conference on Complex Networks and their Applications
2018
Sub-reviewer
Neural Information Processing Systems (NeurIPS)
2018
Sub-reviewer
Contact
Address:
Bâtiment Bouygues, Centre for Visual Computing
CentraleSupélec, 8 rue Joliot-Curie
91190 Gif-sur-Yvette, France