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adaptive_recurrent_graph_neural_network

This code was used for the paper A Recurrent Graph Neural Network for Multi-Relational Data by Vassilis N. Ioanndis, Antonio G. Marques, and Georgios B. Giannakis, available in arxiv

awesome-graph-classification

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

big_data_workflow

cmappy

Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

colinwxl.github.io

deeplearning-biology

A list of deep learning implementations in biology

docker

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

gem

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

hin2vec

Heterogeneous information network representation learning

humanid

my first R package just for testing

jekyll_demo

jupyter-themes

Custom Jupyter Notebook Themes

lincs

Website of the NIH LINCS Program

link-prediction

Representation learning for link prediction within social networks

link-prediction_with_deep-learning

machinelearning

Machine Learning in Action（机器学习实战-笔记）

mapchemblpfam

markdown_notes

microarray

models

Models and examples built with TensorFlow

my_linux_config

networkbasedinference

Network Based Inference recommendation engine

python_function_core

Some daily use useful predefined python functions.

rna_seq_pipeline

sgcn-otp

sql

star

RNA-seq aligner