Hoang NT's repositories
algorithms
My collection of algorithms (mostly graph)
convex_adversarial
A method for training neural networks that are provably robust to adversarial attacks.
gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
graph-datasets
Dataset and pytorch loaders for graphs
graph_cert
Certifiable Robustness to Graph Perturbations
LanczosNetwork
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
Laplacians.jl
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
learn_p5js
My p5.js projects
molecule-chef
Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)
node-classification-dataset
data set for node classification task
phd-presentation
All presentations in my phd
powerful-gnns
How Powerful are Graph Neural Networks?
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
robust-gcn
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.