TNE: A Latent Model for Representation Learning on Networks. - Abdulkadir Çelikkanat; Fragkiskos D. Malliaros (CoRR, 2018)

Kernel Node Embeddings. - Abdulkadir Çelikkanat; Fragkiskos D. Malliaros (GlobalSIP, 2019)

Exponential Family Graph Embeddings. - Abdulkadir Çelikkanat; Fragkiskos D. Malliaros (AAAI, 2020)

NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings. - Abdulkadir Çelikkanat; Apostolos N. Papadopoulos; Fragkiskos D. Malliaros (CoRR, 2020)

Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings. - Surabhi Jaatan; Abdulkadir Çelikkanat; Aurelic Piravre; Frédérique Bidard; Laurent Duval; Fragkiskos D. Malliaros (EUSIPCO, 2021)

Topic-aware latent models for representation learning on networks. - Abdulkadir Çelikkanat; Fragkiskos D. Malliaros (Pattern Recognit. Lett., 2021)

Graph Representation Learning with Random Walk Diffusions. (Apprentissage de représentations sur graphes par diffusions de marche aléatoire). - Abdulkadir Çelikkanat (2021)

NodeSig: Binary Node Embeddings via Random Walk Diffusion. - Abdulkadir Çelikkanat; Fragkiskos D. Malliaros; Apostolos N. Papadopoulos (ASONAM, 2022)

HM-LDM: A Hybrid-Membership Latent Distance Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Morten Mørup (COMPLEX NETWORKS (1), 2022)

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. - Abdulkadir Çelikkanat; Nikolaos Nakis; Morten Mørup (LoG, 2022)

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. - Nikolaos Nakis; Abdulkadir Çelikkanat; Sune Lehmann Jørgensen; Morten Mørup (CoRR, 2022)

BraneMF: integration of biological networks for functional analysis of proteins. - Surabhi Jagtap; Abdulkadir Çelikkanat; Aurélie Pirayre; Frédérique Bidard; Laurent Duval; Fragkiskos D. Malliaros (Bioinform., 2022)

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Louis Boucherie; Christian Djurhuus; Felix Burmester; Daniel Mathias Holmelund; Monika Frolcová; Morten Mørup (AISTATS, 2023)

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. - Nikolaos Nakis; Abdulkadir Çelikkanat; Morten Mørup (Adv. Complex Syst., 2023)

Multiple Kernel Representation Learning on Networks. - Abdulkadir Çelikkanat; Yanning Shen; Fragkiskos D. Malliaros (IEEE Trans. Knowl. Data Eng., 2023)

Continuous-Time Graph Representation with Sequential Survival Process. - Abdulkadir Çelikkanat; Nikolaos Nakis; Morten Mørup (AAAI, 2024)

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Louis Boucherie; Sune Lehmann; Morten Mørup (AISTATS, 2024)

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning. - Abdulkadir Çelikkanat; Andrés R. Masegosa; Thomas Nielsen (NeurIPS, 2024)

Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning. - Abdulkadir Çelikkanat; Andrés R. Masegosa; Thomas D. Nielsen (CoRR, 2024)

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. - Nikolaos Nakis; Abdulkadir Çelikkanat; Sune Lehmann; Morten Mørup (IEEE Trans. Knowl. Data Eng., 2024)