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08/01/2023
Learning Green's Function Efficiently Using Low-Rank Approximations
Learning the Green's function using deep learning models enables to solv...
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09/12/2022
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs
We investigate efficient learning from higher-order graph convolution an...
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08/24/2021
Adaptive and Interpretable Graph Convolution Networks Using Generalized Pagerank
We investigate adaptive layer-wise graph convolution in deep GCN models....
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05/15/2017
Convex Coupled Matrix and Tensor Completion
We propose a set of convex low rank inducing norms for a coupled matrice...
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09/06/2015
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification
We theoretically and experimentally investigate tensor-based regression ...
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07/04/2015