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

Graph Signal Processing in Python

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

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

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.

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.

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

MXNet implementation of Graph Convolutional Neural Networks

Graph-based framework for text classification

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

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

Graph representation, GNN, and some graph algorithms

NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.

Quantifying Pairwise Chemical Similarity for Polymers

Graph-based clustering for time series data (2021 Big Data)

The repository for data mining 2016 fall semester assignment submission.

A pipeline processor to extract data from Gitlab and transform into a graph representation

Evaluation of features for football analysis based on graph representation

Algorithms implemented in C++