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Re-quantization based binary graph neural networks: 《Science China(Information Sciences)》2024年第7期156-167,共12页Kai-Lang YAO Wu-Jun LI; supported by National Key R&D Program of China(Grant No.2020YFA0713901);National Natural Science Foundation of China(Grant Nos.61921006,62192783);Fundamental Research Funds for the Central Universities(Grant No.020214380108).; Binary neural networks have become a promising research topic due to their advantages of fast inference speed and low energy consumption.However,most existing studies focus on binary convolutional neural networks,whil...; 关键词：graph neural networks binary neural networks mixture of experts computation-efficient algorithms

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