… 2) We propose a specifically-designed neural network model named TAN for highly-accurate
topologyaware QoS prediction. We also show TAN’s potential in using side information. 3) …

… In this paper, we propose an Attention-Aware Compositional Network (AACN) to deal with
the misalignment and occlusion problem in person re-identification. AACN is composed of two …

… of numerical methods developed to solve systems of differential equations, with established
techniques from the field of artificial neural networks. On the one hand, neural networks …

… in social network [16], [30], [32], [33] but based on the offline activities [36], [37]. The hidden
community detection helps identify the underlying associations between the social network …

… We propose a new spectral clustering method to detect communities in attributed networks,
where an affinity matrix is built based on the information of both network structure and nodes …

… In this paper, we propose a novel algorithm that can detect community structures automatically
and identify community leaders. A measure of node leadership is introduced to evaluate …

… The first component or module is the data collection unit where the system collects the network
flow data and applies our proposed feature extraction method to prepare the raw data for …

… networks based on a ground-truth dataset with a real publisher–subscriber distribution. In
this paper, we propose SAND: a microblogging system … even on partitioned networks. We …

… The rest parts are arranged as follows: the related works are described in section II; the
system framework is proposed in section III; the community detection methods are described in …

… In this paper, we focus on the neighbors of a single node in the network, ie, its egonet, and
aim at extracting the –possibly overlapping– communities in which this node belongs to. We …