juexinwang Goto Github PK

aane_python

Accelerated Attributed Network Embedding, SDM 2017

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-graph-classification

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

beagle-lib

general purpose library for evaluating the likelihood of sequence evolution on trees

beast-mcmc

Bayesian Evolutionary Analysis Sampling Trees

beast2

Bayesian Evolutionary Analysis by Sampling Trees

bsp

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

dagcn

Dual Attention Graph Convolutional Network

datasets

A repository of pretty cool datasets that I collected for network science and machine learning research.

dcell

DCell browser and gene deletion simulator

dgl

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

diffpool

edward

A probabilistic programming system on TensorFlow. Deep generative models, variational inference.

epee

Effector and Perturbation Estimation Engine (EPEE) conducts differential analysis of transcription factor activity from gene expression data.

front2hpc

gae

Implementation of Graph Auto-Encoders in TensorFlow

gat

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

gem

geneeditrebase

ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

gnn-model-explainer

gnn explainer

grakel

A scikit-learn compatible library for graph kernels

graph2gauss

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

graphite

Code for Graphite iterative graph generation

graphkernels

A package for computing Graph Kernels