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20152026
most citedRA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

113 citations · 299 across the 71 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.LG2018★ 11 cited

Adversarial Classifier for Imbalanced Problems

Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah +1

Adversarial approach has been widely used for data generation in the last few years. However, this approach has not been extensively utilized for classifier training. In this paper…

cs.LG2018★ 36 cited

MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks

Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Graph embedding is an important approach for graph analysis tasks such as node classification and link prediction. The goal of graph embedding is to find a low dimensional represen…