...
机译:雇用生成对抗性网络的全球引文推荐
School of Computer Science and Engineering Southeast University Nanjing China;
School of Computer Science and Engineering Southeast University Nanjing China;
Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab) Department of Software Sejong University Seoul 143-747 Republic of Korea;
Department of Informatics Aristotle University Thessaloniki Greece;
Department of Computer Science University of Peshawar Pakistan;
Citation recommendation; Deep learning; Generative adversarial network; Network embedding; Recommender systems; Sparsity;
机译:使用具有推荐基于推荐的嵌入的生成对抗性网络生成现实用户
机译:GSA-GaN:全球空间注意力发生抗冲网络
机译:使用全球和金字塔生成对抗网络造成衰老
机译:基于生成的对抗网络的个性化引用建议的异构书目网络表示
机译:基于生成对抗性网络的改进语音增强算法
机译:使用全局卷积核和条件生成对抗网络进行脾肿大分割
机译:基于自我关注生成的对抗网络的标签推荐调查