User engagement has recently received significant attention in understanding the decay and expansion of communities many online social networking platforms. When a user chooses to leave platform, it may cause cascading dropping out among her friends. In scenarios, would be good idea persuade critical users stay active network prevent such cascade because can have influence on whole network. Man...

Multi-view unsupervised feature selection has been proven to be efficient in reducing the dimensionality of multi-view unlabeled data with high dimensions. The previous methods assume that all views are complete. However, real applications, often incomplete, i.e., some instances missing, which will result failure these methods. Besides, while arrive form streams, existing suffer issues storage ...

Most graphs in real life keep changing with time. These changes can be in the form of insertion or deletion of edges or vertices. Such rapidly changing graphs motivate us to study dynamic graph algorithms. We study three fundamental graph problems in the dynamic setting, namely, Maximal Independent Set (MIS), Maximum Matching and Maximum Flows. We report surprisingly simple and efficient algori...

This paper reports the results of an extensive campaign incremental dynamic analyses (IDA) rigid rocking blocks under various loading histories, including real ground/floor motions and shake table testing protocol histories. Several block geometries are investigated considering size slenderness combinations representative building contents, monumental elements, art objects, components critical ...

Deep learning has achieved good classification results in the field of traffic recent years due to its feature representation ability. However, existing technology cannot meet requirements for incremental tasks online scenarios. In addition, high concealment and fast update speed malicious traffic, number labeled samples that can be captured is scarce, small drive neural network training, resul...

Representation learning on graphs has emerged as a powerful mechanism to automate feature vector generation for downstream machine tasks. The advances in representation have centered both homogeneous and heterogeneous graphs, where the latter presenting challenges associated with multi-typed nodes and/or edges. In this paper, we consider additional challenge of evolving graphs. We ask question ...

background: exercise has positive and negative effects on immune system. herein, we would like to investigate the effects of incremental aerobic training and fish oil supplementation on the plasma levels of crp, cpk and il-17 in trained mice. one of the major roles of immune system is to produce soluble or cellular components that provide the immunity against inflammatory agent. the purpose of ...