cora

Genius programmer should write his own lisp!

CoRA Docs

✨ PyTorch implementation of "Cora: Correspondence-aware Image Editing Using Few-Step Diffusion", accepted at SIGGRAPH 2025.

Official Repository for different models based on MultiHead VGAEs.

An implementation of the Graph Convolution Networks for the Cora, Citeseer, PubMed dataset.

Research-oriented Graph Neural Network (GCN) built from scratch in PyTorch without using PyG/DGL. Node classification on Cora. Designed to explore interpretability (B-cos) and attention mechanisms.

📡 This project was intended to develop a bidirectional transmitter and reciever device that uses Visible Light Communication (VLC) technology to transmit and recieve data from one device to another. In its basic form, data is transmitted as pulses of light where on means bit 1 and off means bit 0.

An implementation of the Graph Neural Networks for the Cora dataset

MLP vs GCN — a hands-on demo of why edges matter.

Streamlit App for Node and Graph Classification and Explainability

Basic implementation of a 2-Layer GNN architecture for Node Level task prediction on CORA citation data.

GCN, GAT and GraphSAGE on the Cora citation network, with an interactive embedding/clustering site

Graph Neural Networks (GCN, GraphSAGE, GAT) on Cora/PubMed with PyTorch Geometric. Node classification, link prediction, baselines, and explainability (GNNExplainer)

SD card image and base files for building PYNQ on Digilent's Cora Z7-10

Adaptive reachability analysis of nonlinear vehicle dynamics in mixed platoons using the CORA Toolbox.

Classification of Scientific Article Abstracts on Cora Dataset Using Long Short Term Memory

Graph Convolution Network GCN with Dimensional Redaction and Differential Algorithms using Python

This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.

A simple Flutter package for separating UI and business logic using a view-controller pattern