PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).

This study investigates whether considering limited human attention would facilitate information propagation in online social networks.

This folder contains code for the paper titled "Information maximization-based clustering of histopathology images using deep learning".

This repository contains the source code associated with the paper titled "Implementation of a conditional latent diffusion-based generative model to synthetically create unlabeled histopathological images".

A massively parallel solver for the Influence Maximization problem, in the context of Independent Cascade models.

This repository contains the code for the conference paper titled "Feature extraction and unsupervised clustering of histopathological images of pancreatic cancer using information maximization".