This paper develops the GalaXC algorithm for Extreme Classification, where the task is to annotate a document with the most relevant subset of labels from an extremely large label set. Extreme ...

Abstract: Handling noisy data is a longstanding challenge in machine learning, and the complexity increases when working with graph structured data. In domains such as social networks, biological ...

Abstract: Graph neural networks (GNNs) witness impressive performances on homophilic graphs characterized by a higher number of edges connecting nodes of similar class labels. A decline in the ...