1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SI2022★ 1 cited
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic
Structural node embeddings, vectors capturing local connectivity information for each node in a graph, have many applications in data mining and machine learning, e.g., network ali…
cs.LG2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs
Ciwan Ceylan, Petra Poklukar, Hanna Hultin +3
We argue that when comparing two graphs, the distribution of node structural features is more informative than global graph statistics which are often used in practice, especially…
stat.ML2018
Conditional Noise-Contrastive Estimation of Unnormalised Models
Ciwan Ceylan, Michael U. Gutmann
Many parametric statistical models are not properly normalised and only specified up to an intractable partition function, which renders parameter estimation difficult. Examples of…