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)

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

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

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

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++

Graph Embedding for Interpretable Time Series Clustering

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

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

Graph representation, GNN, and some graph algorithms

Evaluation of features for football analysis based on graph representation

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.