Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …

Influential user detection in social media networks involves identifying users who have a
significant impact on the network's dynamics and can shape opinions and behaviours of …

Over the last couple of decades, Social Networks have connected people on the web from
across the globe and have become a crucial part of our daily life. These networks have also …

Reward shaping using GCNs is a popular research area in reinforcement learning.
However, it is difficult to shape potential functions for complicated tasks. In this paper, we …

Nowadays, social media and virtual networking hubs like Twitter, Facebook have become
an integral part of our daily lives. The recent boom in multimedia technology and increased …

Link prediction revolves around network analysis that includes predicting the links that can
exist in the near future. Link Prediction has its use in a number of domains such as Social …

In this paper, we intend to develop an efficient method for Colorizing Grayscale Images such
that the output images are close to their real colors. The main objective is to produce a …

Multi-label text classification is a technique used to categorize texts into multiple labels or
categories. Such classification problems are difficult as well as captivated with several …

Apple fruit disease poses a significant challenge to the agriculture industry due to its
negative impact on orchard yield and economic growth. The current method of identifying …