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06/18/2021
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide
Since the beginning of the COVID-19 pandemic, many dashboards have emerg...
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02/18/2021
Interpretable Stability Bounds for Spectral Graph Filters
Graph-structured data arise in a variety of real-world context ranging f...
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10/26/2020
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Graph neural networks are experiencing a surge of popularity within the ...
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07/31/2020
Graph signal processing for machine learning: A review and new perspectives
The effective representation, processing, analysis, and visualization of...
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07/31/2020
node2coords: Graph Representation Learning with Wasserstein Barycenters
In order to perform network analysis tasks, representations that capture...
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10/22/2019
Mask Combination of Multi-layer Graphs for Global Structure Inference
Structure inference is an important task for network data processing and...
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04/25/2019
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder
While the prevalence of Autism Spectrum Disorder (ASD) is increasing, re...
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06/03/2018
Learning Graphs from Data: A Signal Representation Perspective
The construction of a meaningful graph topology plays a crucial role in ...
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12/18/2017
Graph-based Transform Coding with Application to Image Compression
In this paper, we propose a new graph-based coding framework and illustr...
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07/18/2017
Graph learning under sparsity priors
Graph signals offer a very generic and natural representation for data t...
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11/04/2016
Learning heat diffusion graphs
Effective information analysis generally boils down to properly identify...
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06/19/2015
Graph-based compression of dynamic 3D point cloud sequences
This paper addresses the problem of compression of 3D point cloud sequen...
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06/30/2014
Learning Laplacian Matrix in Smooth Graph Signal Representations
The construction of a meaningful graph plays a crucial role in the succe...
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01/05/2014