Hoang NT's repositories
denoising-gnn
Implementation for Denoising Graph Neural Networks
cs224n_nlp
Stanford CS224D: Natural Language Processing with Deep Learning
cs276_search
Information Retrieval and Web Search
DeepRecommender
Deep learning for recommender systems
graph-embedding
Implementations for some of the most popular graph embedding algorithms
graph-kernels
Graph kernels
Graph-Reading-Group
Weekly reading group on Graphs at Mila
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
NonEuclidean
A Non-Euclidean Rendering Engine for 3D scenes.
optimal_assignment_kernels
Source code for the paper "On Valid Optimal Assignment Kernels and Applications to Graph Classification", Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson, NIPS 2016.
phd-presentation
All presentations in my phd
published_papers
My published papers, posters, and presentations
pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
semi-supervised-pytorch
Implementations of different VAE-based semi-supervised and generative models in PyTorch
stellargraph
Machine Learning on Graphs
wss-ml-training
Machine Learning Tutorials