Titlebook: Computational Data and Social Networks; 10th International C David Mohaisen,Ruoming Jin Conference proceedings 2021 Springer Nature Switzer

LAVA

Approximation Algorithm for Maximizing Nonnegative Weakly Monotonic Set Functionsions in practice do not fully meet the characteristics of diminishing returns. In this paper, we consider the problem of maximizing unconstrained non-negative weakly-monotone non-submodular set function. The generic submodularity ratio . is a bridge connecting the non-negative monotone functions and

DAMN

災(zāi)禍

Maximizing the Sum of a Supermodular Function and a Monotone DR-submodular Function Subject to a Kna of the sum of a supermodular function and a monotone DR-submodular function on the integer lattice. As our main contribution, we present a streaming algorithm under the assumption that the optimum is known, and a two-pass streaming algorithm in general case. The proposed algorithms are proved to ha

象形文字

A Framework for Accelerating Graph Convolutional Networks on Massive Datasetsicularly among them, because of massive scale of graphs, there is not only a large computation time, but also the need for partitioning and loading data multiple times. This paper presents a different framework in which existing GCN methods can be accelerated for execution on large graphs. Building

簡潔

AdvEdge: Optimizing Adversarial Perturbations Against Interpretable Deep Learningion for a given task is derived from the correct problem representation and not from the misuse of artifacts in the data. Hence, interpretation models have become a key ingredient in developing deep learning models. Utilizing interpretation models enables a better understanding of how DNN models wor

cochlea

高度表

refine

BIDE

Spina-Bifida

MIC Model for Cervical Cancer Risk Factors Deep Association Analysisrs for CC including the direct risk factors and indirect risk factors that may be caused by other diseases or reasons. In this paper, we proposed a MIC (Multiple Indicators Correlation) model to resolve the problem of analyzing risk factors by establishing the indicators structure. Based on the clos