17级覃孟同学中稿InfoCom 2019
IEEE International Conference on Computer Communications 2019 (InfoCom 2019)将于2019年4月29日至5月2日，在法国巴黎举行。InfoCom是计算机网络通信领域的国际顶级学术会议，也被CCF推荐为计算机网络方向的A类会议。
17级同学覃孟在实验室雷凯老师指导下，完成一篇长文"GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks"，并以确认被InfoCom 2019录用！中稿论文的简介如下：
论文标题: GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
论文作者: Kai Lei, Meng Qin, Bo Bai*, Gong Zhang, Min Yang*
英文摘要: In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link prediction task. Different from conventional techniques of temporal link prediction that ignore the potential non-linear characteristics and the informative link weights in the dynamic network, we introduce a novel non-linear model GCN-GAN to tackle the challenging temporal link prediction task of weighted dynamic networks. The proposed model leverages the benefits of the graph convolutional network (GCN), long short-term memory (LSTM) as well as the generative adversarial network (GAN). Thus, the dynamics, topology structure and evolutionary patterns of weighted dynamic networks can be fully exploited to improve the temporal link prediction performance. Concretely, we...