A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
An implementation of "Graph Structural-topic Neural Network"
A graph matching library for Python
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Malware Detection and Classification Using Machine Learning
code for kaggle competition Microsoft malware classification
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
A library for efficient similarity search and clustering of dense vectors.
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Build script for CamFlow Linux Provenance.
C macros for hash tables and more
