maclarin Goto Github PK

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

benchmarking-gnns

Repository for benchmarking graph neural networks

bionev

Code and datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

facial-similarity-with-siamese-networks-in-pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

han

Heterogeneous Graph Neural Network

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hine

Heterogeneous Information Network Embedding

maclarin.github.io

Homepage

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

neodti

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

network-papers

ohmnet

OhmNet: Representation learning in multi-layer graphs

omniglot

Omniglot data set for one-shot learning

openne

An Open-Source Package for Network Embedding (NE)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

rt-n56u

Padavan

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.