Abdulkadir Çelikkanat

31 papers A* 3A 2B 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
UncertainGen: Uncertainty-Aware Representations of DNA Sequences for Metagenomic Binning.
CoRR
Abdulkadir Çelikkanat, Andrés R. Masegosa, Mads Albertsen, Thomas D. Nielsen
2024 J jnl
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.
IEEE Trans. Knowl. Data Eng.
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup
2024 A* conf
Continuous-Time Graph Representation with Sequential Survival Process.
AAAI
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2024 A* conf
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning.
NeurIPS
Abdulkadir Çelikkanat, Andrés R. Masegosa, Thomas Nielsen
2024 J jnl
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning.
CoRR
Abdulkadir Çelikkanat, Andrés R. Masegosa, Thomas D. Nielsen
2024 A conf
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model.
AISTATS
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
2024 J jnl
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model.
CoRR
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
2023 J jnl
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.
Adv. Complex Syst.
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2023 J jnl
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.
CoRR
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2023 A conf
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.
AISTATS
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
2023 J jnl
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.
CoRR
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
2023 J jnl
Continuous-time Graph Representation with Sequential Survival Process.
CoRR
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2023 J jnl
Multiple Kernel Representation Learning on Networks.
IEEE Trans. Knowl. Data Eng.
Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
2022 J jnl
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.
CoRR
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup
2022 J jnl
BraneMF: integration of biological networks for functional analysis of proteins.
Bioinform.
Surabhi Jagtap, Abdulkadir Çelikkanat, Aurélie Pirayre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros
2022 — conf
HM-LDM: A Hybrid-Membership Latent Distance Model.
COMPLEX NETWORKS (1)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2022 J jnl
HM-LDM: A Hybrid-Membership Latent Distance Model.
CoRR
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2022 B conf
NodeSig: Binary Node Embeddings via Random Walk Diffusion.
ASONAM
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros, Apostolos N. Papadopoulos
2022 — conf
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations.
LoG
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2022 J jnl
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations.
CoRR
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2021 — —
Graph Representation Learning with Random Walk Diffusions. (Apprentissage de représentations sur graphes par diffusions de marche aléatoire).
Abdulkadir Çelikkanat
2021 — conf
Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings.
EUSIPCO
Surabhi Jaatan, Abdulkadir Çelikkanat, Aurelic Piravre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros
2021 J jnl
Multiple Kernel Representation Learning on Networks.
CoRR
Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
2021 J jnl
Topic-aware latent models for representation learning on networks.
CoRR
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2021 J jnl
Topic-aware latent models for representation learning on networks.
Pattern Recognit. Lett.
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2020 A* conf
Exponential Family Graph Embeddings.
AAAI
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2020 J jnl
NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings.
CoRR
Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros
2019 J jnl
Exponential Family Graph Embeddings.
CoRR
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2019 — conf
Kernel Node Embeddings.
GlobalSIP
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2019 J jnl
Kernel Node Embeddings.
CoRR
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2018 J jnl
TNE: A Latent Model for Representation Learning on Networks.
CoRR
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros