Since the emergence of COVID-19, the number of infections has significantly increased. As of April 7, 8:00 am, the total number of global infections has already reached 1,338,415, with the number of deaths being 74,556. Medical experts from various countries have conducted relevant researches in their own fields and countries, and the development of an effective vaccine has been expected soon. Although some progress has been made in the development of therapeutic drugs and vaccines, interdisciplinary and cooperative studies are scarce. However, it is easy to form information islands and conduct repeated scientific research. To date, no therapeutic drug or vaccine for COVID-19 has been officially approved yet for marketing. In this article, the features of experts in cooperation networks, such as graph structure, context attribute, sequential co-occurrence probability, weight features and auxiliary features, are comprehensively analyzed. Based on this, a novel graph neural network + long short-term memory + generative adversarial network (GNN + LSTM + GAN) expert recommendation model based on link prediction is constructed to encourage cooperation among relevant experts in research social networks. Finding experts in related fields, establishing cooperative relations with them and achieving multinational and cross-field expert cooperation are significant to promote the development of therapeutic drugs and vaccines.

自 COVID-19 出现以来，感染人数显着增加。截至 4 月 7 日上午 8 点，全球感染总人数已达 1,338,415 人，死亡人数为 74,556 人。各国医学专家在各自领域和国家开展了相关研究，有望很快研制出有效疫苗。尽管在治疗药物和疫苗的开发方面取得了一些进展，但跨学科和合作的研究却很少。但是，很容易形成信息孤岛，进行重复的科学研究。迄今为止，尚未正式批准 COVID-19 的治疗药物或疫苗上市。在本文中，合作网络专家的特征，如图结构、上下文属性、对序列共现概率、权重特征和辅助特征进行了综合分析。在此基础上，构建了一种基于链接预测的新型图神经网络+长短期记忆+生成对抗网络（GNN+LSTM+GAN）专家推荐模型，鼓励相关专家在研究社交网络方面的合作。寻找相关领域的专家，与他们建立合作关系，实现跨国、跨领域的专家合作，对于推动治疗药物和疫苗的发展具有重要意义。构建了一种基于链接预测的新型图神经网络+长短期记忆+生成对抗网络（GNN+LSTM+GAN）专家推荐模型，鼓励相关专家在研究社交网络方面的合作。寻找相关领域的专家，与他们建立合作关系，实现跨国、跨领域的专家合作，对于推动治疗药物和疫苗的发展具有重要意义。构建了一种基于链接预测的新型图神经网络+长短期记忆+生成对抗网络（GNN+LSTM+GAN）专家推荐模型，鼓励相关专家在研究社交网络方面的合作。寻找相关领域的专家，与他们建立合作关系，实现跨国、跨领域的专家合作，对于推动治疗药物和疫苗的发展具有重要意义。