ACM SIGCOMM 2018 Workshop on Network Meets AI & ML (NetAIM 2018)
ACM SIGCOMM 2018(https://conferences.sigcomm.org/sigcomm/2018/) (CCF A)将于2018年8月20日至25日在匈牙利布达佩斯举行，SIGCOMM是计算机网络通信领域的重要学术会议，且今年为NetAI Workshop(https://conferences.sigcomm.org/sigcomm/2018/workshop-netaim.html)在SIGCOMM会议举办的第一届，该workshop主要关注如何利用人工智能技术有效应对现有网络系统的面临的挑战。
17级同学覃孟，在实验室雷老师的指导下，完成一篇长文，并已被SIGCOMM 2018 NetAI Workshop录用，论文简介如下：
标题: Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks
作者: Kai Lei, Meng Qin, Bo Bai*, Gong Zhang.
英文摘要: The prediction of mobility, topology and traffic is an effective technique to improve the performance of various network systems, which can be generally represented as the temporal link prediction problem. In this paper, we propose a novel adaptive multiple nonnegative matrix factorization (AM-NMF) method from the view of network embedding to cope with such problem. Under the framework of non-negative matrix factorization (NMF), the proposed method embeds the dynamic network into a low-dimensional hidden space, where the characteristics of different network snapshots are comprehensively preserved. Especially, our new method can effectively incorporate the hidden information of different time slices, because we introduce a novel adaptive parameter to automatically adjust the relative contribution of different terms in the uniform model. Accordingly, the prediction...