A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Graph Signal Processing in Python

A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)

A C++ library and utilities for manipulating the Graphical Fragment Assembly format.

Graph-based framework for text classification

MXNet implementation of Graph Convolutional Neural Networks

Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'

Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".

Quantifying Pairwise Chemical Similarity for Polymers

Graph Embedding for Interpretable Time Series Clustering

This is the implementation of 2nd Part in 3-Part Series of Algorithms Illuminated Book. All Implementations in this repository are written in both Python and Golang. Single IPython Notebook contains all Algorithms given in this Part 2.

Algorithms implemented in C++

A CRUD app with graphs and maps using MERN stack

Additive Manufacturing Mapping of Compositional Spaces with Thermodynamic, Analytical, and Artificial Intelligence Models

A tool for creating a graph representation out of the content of PDFs or images.

[IROS22 Oral] Optimization of Forcemyography Sensor Placement for Arm Movement Recognition https://arxiv.org/abs/2207.10915

Graph representation, GNN, and some graph algorithms