Link prediction in complex networks: A survey

L Lü, T Zhou - Physica A: statistical mechanics and its applications, 2011 - Elsevier
Link prediction in complex networks has attracted increasing attention from both physical
and computer science communities. The algorithms can be used to extract missing …

[PDF][PDF] A survey of results on mobile phone datasets analysis

VD Blondel, A Decuyper, G Krings - EPJ data science, 2015 - Springer
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

Temporal graph networks for deep learning on dynamic graphs

E Rossi, B Chamberlain, F Frasca, D Eynard… - ar** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Mining heterogeneous information networks: a structural analysis approach

Y Sun, J Han - ACM SIGKDD explorations newsletter, 2013 - dl.acm.org
Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …

GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction

J Chen, X Wang, X Xu - Applied Intelligence, 2022 - Springer
Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …

GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks

K Lei, M Qin, B Bai, G Zhang… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
In this paper, we generally formulate the dynamics prediction problem of various network
systems (eg, the prediction of mobility, traffic and topology) as the temporal link prediction …