2024

  1. revisiting_k_mer_profile_for_effective_and_scalable_genome_representation_learning.png
    Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
    Abdulkadir Çelikkanat, Andres R Masegosa, and Thomas Dyhre Nielsen
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
    arXiv Code Poster Slides Project Website
    (Spotlight Paper)
  2. grassp_continuous-time_graph_representation_with_sequential_survival_process.gif
    Continuous-Time Graph Representation with Sequential Survival Process
    Abdulkadir Çelikkanat, Nikolaos Nakis, and Morten Mørup
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Mar 2024
    DOI arXiv PDF Code Poster Slides Project Website

    (Best Paper Award in the TGL Workshop @ NeurIPS23)
  3. time_to_cite_modeling_citation_networks_using_the_dynamic_impact_single_event_embedding_model.png
    Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
    Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, and 2 more authors
    In In International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024
    arXiv PDF Code

2023

  1. a_hierarchical_block_distance_model_for_ultra_low_dimensional_graph_representations.png
    A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
    Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, and 1 more author
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Aug 2023
    DOI arXiv Code
  2. characterizing_polarization_in_social_networks_using_the_signed_relational_latent_distance_model.png
    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), 25–27 apr 2023
    arXiv PDF Code
  3. hm_ldm_a_hybrid_membership_latent_distance_model.png
    HM-LDM: A Hybrid-Membership Latent Distance Model
    Nikolaos Nakis, Abdulkadir Çelikkanat, and Morten Mørup
    In Complex Networks and Their Applications XI, 25–27 apr 2023
    DOI arXiv PDF Code Slides
    (Oral Presentation)
  4. a_hybrid_membership_latent_distance_model_for_unsigned_and_signed_integer_weighted_networks.png
    A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
    Nikolaos Nakis, Abdulkadir Çelikkanat, and Morten Mørup
    Advances in Complex Systems, 25–27 apr 2023
    DOI arXiv Code

2022

  1. piecewise_velocity_model_for_learning_continuous_time_dynamic_node_representations.gif
    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
    arXiv PDF Code Poster Project Website Link
  2. nodesig_binary_node_embeddings_via_random_walk_diffusion.png
    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
    DOI arXiv Code Slides Project Website
    (Oral Presentation)
  3. branemf_integration_of_biological_networks_for_functional_analysis_of_proteins.png
    BraneMF: Integration of biological networks for functional analysis of proteins
    Surabhi Jagtap, Abdulkadir Çelikkanat, Aurélie Pirayre, and 3 more authors
    Bioinformatics, Nov 2022
    DOI Code
  4. multiple_kernel_representation_learning_on_networks.png
    Multiple Kernel Representation Learning on Networks
    Abdulkadir Çelikkanat, Yanning Shen, and Fragkiskos Malliaros
    IEEE Transactions on Knowledge and Data Engineering, Nov 2022
    DOI arXiv Code Project Website

2021

  1. multiomics_data_integration_for_gene_regulatory_network_nference_with_exponential_family_embeddings.png
    Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings
    Surabhi Jagtap, Abdulkadir Çelikkanat, Aurelic Piravre, and 3 more authors
    In European Signal Processing Conference (EUSIPCO), Nov 2021
    DOI Code
  2. phd_thesis.png
    Graph Representation Learning with Random Walk Diffusions
    Abdulkadir Çelikkanat
    Ph.D. Thesis, CentraleSupélec, Université Paris-Saclay, Apr 2021
    PDF Slides Link
  3. topic_aware_latent_models_for_representation_learning_on_networks.png
    Topic-aware latent models for representation learning on networks
    Abdulkadir Çelikkanat, and Fragkiskos D. Malliaros
    Pattern Recognition Letters, Apr 2021
    DOI arXiv Code Project Website

2020

  1. exponential_family_graph_embeddings.png
    Exponential Family Graph Embeddings
    Abdulkadir Çelikkanat, and Fragkiskos D. Malliaros
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Apr 2020
    DOI arXiv PDF Code Project Website

2019

  1. exponential_family_graph_embeddings_workshop.png
    Learning Node Embeddings with Exponential Family Distributions
    Abdulkadir Çelikkanat, and Fragkiskos Malliaros
    In Neural Information Processing Systems (NeurIPS) - Graph Representation Learning Workshop, Dec 2019
    PDF Code Project Website Link
  2. kernel_node_embedding.png
    Kernel Node Embeddings
    Abdulkadir Çelikkanat, and Fragkiskos D. Malliaros
    In IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec 2019
    DOI arXiv Code Project Website

2018

  1. tne_a_latent_model_for_representation_learning_on_networks_workshop.png
    TNE: A Latent Model for Representation Learning on Networks
    Abdulkadir Çelikkanat, and Fragkiskos D. Malliaros
    In Neural Information Processing Systems (NeurIPS) - Relational Representation Learning Workshop, Dec 2018
    PDF Code Poster Project Website Link

2017

  1. master_thesis.png
    Sampling methods for random simple and bipartite graphs with prescribed degree sequences
    Abdulkadir Çelikkanat
    Master’s Thesis, Fen Bilimleri Enstitüsü, Bogaziçi University, Dec 2017
    PDF Code Slides Link