Classification of molecules' ability to inhibit HIV with Graph Neural Networks (PyTorch Geometric) - work in progress.
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Updated
Aug 30, 2023 - Jupyter Notebook
Classification of molecules' ability to inhibit HIV with Graph Neural Networks (PyTorch Geometric) - work in progress.
GCN model trained on the IMDB-BINARY dataset and a custom graph class to modify graphs in the dataset as well as explain and approximate the model.
Streamlit App for Node and Graph Classification and Explainability
Clean version of the code used for the development of my master's thesis.
Papers about Phishing Scams Detectation on Ethereum
Implementation of GraphWavenet (https://arxiv.org/abs/1906.00121) in PyG
Drug Combination Prediction using Graph Neural Networks
This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.
HiCAP---Hierarchical Clustering-based Attention Pooling for Graph Representation Learning
Performance Evaluation of Multiple Deep Neural Networks (GCNN, GAT, GraphSage, TAGCN) on different public datasets. <b />Tool Used: Pytorch, Pytorch Geoemetric
Opto-fmri decoding of locus coeruleus firing patterns using Graph Neural Networks and the BrainGNN framework
Graph Neural Networks (GNN) Experimentation Playground
Using Graph Representation Learning for Facial Landmark detection.
A graph variational auto-encoder trained on STRING database to predict novel PPIs
This Project Repository Contains the Coding Implementations Related to Graph Based Machine Learning & Deep Learning
Course project for CS726 @ IIT Bombay.
Stanford's CS224W Class of 2021 by Jure Leskovec (https://profiles.stanford.edu/jure-leskovec)
A new benchmark for graph neural network explainer methods
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
Predicting Amino Acids' Dipole Moment Value using SchNet
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