using feature maximisation for summarizing scientifc documents

This is a semi-automatic semantic consistency-checking method for learning ontology from RDB, in which the graph-based intermediate model is leveraged to represent the semantics of RDB and the specifications of learned ontologies.

Graph-based temporal topic modeling for very small corpora

Projects of Machine learning and Deep learning

Website of TextGraphs: Graph-based Algorithms for Natural Language Processing

Analyzing and recommending Amazon products using graph-based methods and regression models.

A comparative study of various methods for aspect-based sentiment analysis in the German language. Analysing generative models with large language models, relational graph attention networks and aspect-specific graph convolutional networks.

A web-based implementation of the traditional Iranian game "Dooz," enhanced with AI for competitive or analysis purposes.

A new algorithm for feature selection

Python code for the semi-supervised learning method particle competition and cooperation

This repository contains implementations of multiple KNN-based (Adaptive kNN and Graph-based kNN) SOTA algorithms.

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network