Hoang NT (gear)

gear

Geek Repo

Company:東京大学

Location:Tokyo, Japan

Home Page:https://gearons.org/

Github PK Tool:Github PK Tool


Organizations
net-titech

Hoang NT's repositories

algorithms

My collection of algorithms (mostly graph)

License:MITStargazers:1Issues:2Issues:0

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

Language:PythonLicense:MITStargazers:1Issues:2Issues:0

AS-GCN

tensorflow-as-gcn

Language:PythonStargazers:0Issues:1Issues:0

coreutils

Cross-platform Rust rewrite of the GNU coreutils

Language:RustLicense:MITStargazers:0Issues:1Issues:0

DGI

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Language:PythonLicense:MITStargazers:0Issues:3Issues:0

DGP

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

License:MITStargazers:0Issues:0Issues:0

GraKeL

A scikit-learn compatible library for graph kernels

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

graph-datasets

Dataset and pytorch loaders for graphs

License:MITStargazers:0Issues:2Issues:0

graph_cert

Certifiable Robustness to Graph Perturbations

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:3Issues:0

homlib

Homomorphism Counting Algorithm

Language:C++License:MITStargazers:0Issues:1Issues:0

lab

🧪 Organize Machine Learning Experiments

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

LanczosNetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

Laplacians.jl

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:1Issues:0

learn_p5js

My p5.js projects

Language:JavaScriptStargazers:0Issues:2Issues:0

molecule-chef

Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)

Language:PythonLicense:GPL-3.0Stargazers:0Issues:2Issues:0

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

node-classification-dataset

data set for node classification task

Language:PythonStargazers:0Issues:1Issues:0

phd-presentation

All presentations in my phd

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

powerful-gnns

How Powerful are Graph Neural Networks?

Language:PythonStargazers:0Issues:3Issues:0

py-graph

A python package for graph kernels.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:1Issues:0

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

Language:PythonLicense:MITStargazers:0Issues:2Issues:0
Language:PythonLicense:MITStargazers:0Issues:1Issues:0

robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

sympy

A computer algebra system written in pure Python

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0