Graph Entropy Minimization for Semi-supervised Node Classification

Yi Luo, Guangchun Luo, Ke Qin +1

Node classifiers are required to comprehensively reduce prediction errors, training resources, and inference latency in the industry. However, most graph neural networks (GNN) conc…