Computational Data and Social Networks

Combinatorial Optimization and Learning.- Streaming algorithms for maximizing non-submodular functions on the integer lattice.- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model.- Streaming algorithms for Budgeted $k$-Submodular Maximization problem.- Approximation algorithms for the lower bounded correlation clustering problem.- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions.- Differentially Private Submodular Maximization over Integer Lattice.- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice.- Deep Learning and Applications to Complex and Social Systems.- A Framework for Accelerating Graph Convolution Networks on Massive Datasets.- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning.- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer.- Deep Bangla Authorship Attribution using Transformer Models.- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems.- Detecting Hate Speech Contents Using Embedding Models.- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis.- Power Grid Cascading Failure Prediction Based on Transforme.- Measurements of Insight from Data.- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis.- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network.- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets.- Complex Networks Analytics.- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network.- Network based Framework to Compare Vaccination Strategies.- Groups Influence with Minimum Cost in Social Network.- Recovering communities in temporal networks using persistent edges.- Community Detection using Semilocal Topological Features