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A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome Multi-label Image Recognition Paper List and corresponding source-code
A Graph Neural Network project on HIV data
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
An index of recommendation algorithms that are based on Graph Neural Networks.
Must-read papers on graph neural networks (GNN)
Early access articles, Journals, and Conferences
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
Assignment of the course
Control the RTDS usning Java
GNN implementations with PyG
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
The following is a machine learning project to classify induction motor fault modes.
A real-time monitoring and analysis tool for IEC 61850-9-2 LE Sampled Values
Rapid-prototyping protection and control schemes with IEC 61850
This project contains an OMNeT++/INET extension to support IEC61850 process bus communication (GOOSE and SV)
Graph Neural Network Library for PyTorch
Pytorch Geometric Tutorials
Stockwell transform for Python
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Visualization of node embedding
Python package built to ease deep learning on graph, on top of existing DL frameworks.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.