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

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

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

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

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.

using feature maximisation for summarizing scientifc documents

Projects of Machine learning and Deep learning

A new algorithm for feature selection

Graph-based temporal topic modeling for very small corpora

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.