Zeinab Rahbar's repositories
GCNRW-Graph-Convolutional-Network-With-Random-Weights-
Here is an implementation of Title: "Are Graph Convolutional Networks With Random Weights Feasible?" Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence Year: 2022
Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS
This ia a simple implementation of SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS on three datasets(Cora, PubMed and Citeseer) and inspecting changing the first layer activation function of this model from ReLU to Linear
translate-english-subtitles-to-persian-
This python code gets the English subtitle file (.srt) and provide Persian subtitle file (.srt)
Cayleynets-Graph-convolutional-neural-networks-with-complex-rational-spectral-filters-
reimplement paper: Cayleynets: Graph convolutional neural networks with complex rational spectral filters,
Evolutionary_algorithm_for_solving_nQueen_restricted_board_with_pawns
Here I employed an evolutionary algorithm that solve n queen problem, but it is not the traditional n queen problem. In this problem there are fixed soldiers in our board which are randomly generated and then regarding this we should have employed the evolutionary algorithm. The Persian report is available via contact, but English report not yet!
googlescholar_scraper
The "googlescholar_scraper" project is a Python script that utilizes web scraping techniques to extract paper data from Google Scholar. The script searches for papers based on a specific query, in this case, "graph network multimodal." It then scrapes the search results from the first 20 pages of Google Scholar.
LLM_Science_Competition
A code to a solution on this competition
Neural-Network-Homework
Here is my university Neural Network course homework containing implementing perceptron and convolutional networks from scratch and experimenting using different activation, loss function, ... on them.
OfficeCaltechDomainAdaptation
Code, Images and Features for the Domain Adaptation benchmark dataset Office-Caltech
Picture_dictionary_android_application
Implementing an android application through android studio with java
Evolutionary_algorithm_for_night_tour_problem-chessboard-restricted-with-the-pawns-and-nights-
This is a code to an evolutionary algorithm that help us find the best chess board situation in 300 generations. there is one knight which can be moved through board and there are some pawns and other nights in the board which threatening them has negative and positive points based on their type
Genetic-Algorithm-for-Polynomial-Curve-Fitting
This repository contains the implementation of a genetic algorithm for polynomial curve fitting using Python. The algorithm utilizes a population-based approach to approximate complex polynomial functions and discover optimal coefficients for curve fitting.