4 citations · 4 across the 1 of their papers we have counts for
8 papers
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Graph-structured data arise in a variety of real-world context ranging from sensor and transportation to biological and social networks. As a ubiquitous tool to process graph-struc…
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Graph neural networks are experiencing a surge of popularity within the machine learning community due to their ability to adapt to non-Euclidean domains and instil inductive biase…
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong, Dorina Thanou, Laura Toni +2
The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains such as networks and graphs, are o…
node2coords: Graph Representation Learning with Wasserstein Barycenters
Effrosyni Simou, Dorina Thanou, Pascal Frossard
In order to perform network analysis tasks, representations that capture the most relevant information in the graph structure are needed. However, existing methods do not learn rep…
Mask Combination of Multi-layer Graphs for Global Structure Inference
Eda Bayram, Dorina Thanou, Elif Vural +1
Structure inference is an important task for network data processing and analysis in data science. In recent years, quite a few approaches have been developed to learn the graph st…
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder
Sarah Itani, Dorina Thanou
While the prevalence of Autism Spectrum Disorder (ASD) is increasing, research continues in an effort to identify common etiological and pathophysiological bases. In this regard, m…