Algorithm 1: GNNs with the CIT mechanismInput: Graph G = (A, X), label Y Params: the probability of transfer p, the epochtimes k, the number of clusters m, total iterations T Initialize: GNN model f

Neural Information Processing Systems 

Randomly sample n p nodes to calculate Eq. (9) The nodes represent papers and are classified into three classes. The edges represent their citation relationships. Node attributes are representations of the papers. The edges are citation links. It consists of nearly twenty thousand nodes.

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