Label Contrastive Coding based Graph Neural Network for Graph Classification

Yuxiang Ren
Yuxiang Ren
Jiyang Bai
Jiyang Bai
Cited by: 0|Views4

Abstract:

Graph classification is a critical research problem in many applications from different domains. In order to learn a graph classification model, the most widely used supervision component is an output layer together with classification loss (e.g.,cross-entropy loss together with softmax or margin loss). In fact, the discriminative infor...More

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