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12/11/2021
Distributed Graph Learning with Smooth Data Priors
Graph learning is often a necessary step in processing or representing s...
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09/09/2021
FGOT: Graph Distances based on Filters and Optimal Transport
Graph comparison deals with identifying similarities and dissimilarities...
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03/30/2021
Multilayer Graph Clustering with Optimized Node Embedding
We are interested in multilayer graph clustering, which aims at dividing...
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10/29/2020
FiGLearn: Filter and Graph Learning using Optimal Transport
In many applications, a dataset can be considered as a set of observed s...
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10/29/2020
Multilayer Clustered Graph Learning
Multilayer graphs are appealing mathematical tools for modeling multiple...
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03/12/2020
Wasserstein-based Graph Alignment
We propose a novel method for comparing non-aligned graphs of different ...
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12/03/2019
Joint Graph-based Depth Refinement and Normal Estimation
Depth estimation is an essential component in understanding the 3D geome...
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09/20/2019
CDOT: Continuous Domain Adaptation using Optimal Transport
In this work, we address the scenario in which the target domain is cont...
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06/05/2019
GOT: An Optimal Transport framework for Graph comparison
We present a novel framework based on optimal transport for the challeng...
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01/24/2019
Graph heat mixture model learning
Graph inference methods have recently attracted a great interest from th...
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12/13/2018
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint
In this paper, we propose a scalable algorithm for spectral embedding. T...
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11/02/2018