Search Results for author: Ciwan Ceylan

Found 3 papers, 0 papers with code

Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs

no code implementations20 Jul 2022 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 alignment and node classification, clustering and anomaly detection.

Anomaly Detection Node Classification

GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs

no code implementations8 Feb 2022 Ciwan Ceylan, Petra Poklukar, Hanna Hultin, Alexander Kravchenko, Anastasia Varava, Danica Kragic

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 to evaluate graph generative models.

Conditional Noise-Contrastive Estimation of Unnormalised Models

no code implementations ICML 2018 Ciwan Ceylan, Michael U. Gutmann

Examples of unnormalised models are Gibbs distributions, Markov random fields, and neural network models in unsupervised deep learning.

Density Estimation

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