Conditional noise-contrastive estimation of unnormalised models C Ceylan, MU Gutmann International Conference on Machine Learning, 726-734, 2018 | 45 | 2018 |
GraphDCA--a Framework for Node Distribution Comparison in Real and Synthetic Graphs C Ceylan, P Poklukar, H Hultin, A Kravchenko, A Varava, D Kragic arXiv preprint arXiv:2202.03884, 2022 | 3 | 2022 |
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks C Ceylan, S Franzén, FT Pokorny International Conference on Machine Learning, 1395-1406, 2021 | 2 | 2021 |
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs C Ceylan, K Ghoorchian, D Kragic arXiv preprint arXiv:2207.10149, 2022 | 1 | 2022 |
GraphDCA-a Framework for Node Distribution Comparison in Real and Synthetic Graphs P Poklukar, C Ceylan, H Hultin, O Kravchenko, A Varava, D Kragic | | 2022 |
Conditional Noise-Contrastive Estimation: With Application to Natural Image Statistics C Ceylan | | 2017 |