most citedReGrAt: Regularization in Graphs using Attention to handle class imbalance

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

ReGrAt: Regularization in Graphs using Attention to handle class imbalance

Neeraja Kirtane, Jeshuren Chelladurai, Balaraman Ravindran +1

Node classification is an important task to solve in graph-based learning. Even though a lot of work has been done in this field, imbalance is neglected. Real-world data is not per…

cs.LG2018

Fusion Graph Convolutional Networks

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra +2

Semi-supervised node classification in attributed graphs, i.e., graphs with node features, involves learning to classify unlabeled nodes given a partially labeled graph. Label pred…