Cognitive complexity and graph convolutional approach over control flow graph for software defect prediction

M Gupta, K Rajnish, V Bhattacharjee - IEEE Access, 2022 - ieeexplore.ieee.org
The software engineering community is working to develop reliable metrics to improve
software quality. It is estimated that understanding the source code accounts for 60% of the …

Graph neural networks based framework to analyze social media platforms for malicious user detection

Z Khan, Z Khan, BG Lee, HK Kim, M Jeon - Applied Soft Computing, 2024 - Elsevier
Online social media (OSM) has emerged as the most pertinent and readily available
platform for individuals to effectively express their perspectives. Users connect seamlessly in …

Detecting fake news using machine learning

RH Patel, R Patel, S Patel, N Patel - … and Internet of Things: Proceedings of …, 2022 - Springer
The evolution of information and communication in this digital era has increased the number
of Internet accessible people. Internet has changed the way information is consumed, and …

CbPIS: Cyberbullying Profile Identification System with Users in Loop

M Choudhary, SS Chouhan, ES Pilli - Proceedings of the 2021 …, 2021 - dl.acm.org
The internet has given us access to vast amounts of information and enabled us to
communicate globally. However, posting uncensored comments on internet has raised …

[图书][B] Study in Big Data Harnessing and Related Problems

R Jin - 2021 - search.proquest.com
Social networks, such as Facebook and Twitter, have provided incredible opportunities for
social communication between web users around the world. Social network analysis is an …