Pinned Repositories
BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
decagon-1
Graph convolutional neural network for multirelational link prediction
deepchem
This is my fork of the popular Deep Learning repository deepchem.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DirichletProcessMixtureModel
The Dirichlet Process Mixture Model provides a fully Bayesian analysis for the inference of clusters and their parameters.
DPcurveclustering
This code modifies DPMM to the VIP data set.
GraphINVENT
Graph neural networks for molecular design.
guiltytargets
guiltytargets-results
Scripts to reproduce the results from "GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning"
SBC
Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times
ashar799's Repositories
ashar799/SBC
Survival Based Clustering : Consistent Clustering of continuous molecular data with censored survival times
ashar799/MasterThesis
External Validation and characterization of Cancer subtypes using SBC
ashar799/BioNEV
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
ashar799/decagon-1
Graph convolutional neural network for multirelational link prediction
ashar799/deepchem
This is my fork of the popular Deep Learning repository deepchem.
ashar799/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ashar799/DirichletProcessMixtureModel
The Dirichlet Process Mixture Model provides a fully Bayesian analysis for the inference of clusters and their parameters.
ashar799/DPcurveclustering
This code modifies DPMM to the VIP data set.
ashar799/GraphINVENT
Graph neural networks for molecular design.
ashar799/guiltytargets
ashar799/guiltytargets-results
Scripts to reproduce the results from "GuiltyTargets: Prioritization of Novel Therapeutic Targets with Deep Network Representation Learning"
ashar799/KDD-2019-Hands-on
DGL tutorial in KDD 2019
ashar799/mol2vec
My fork of Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
ashar799/OpenNE
An Open-Source Package for Network Embedding (NE)
ashar799/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ashar799/Reinvent
ashar799/ReinventCommunity
ashar799/rstandilimod
ashar799/seffnet
Network representation learning on drug-target-side effects-indication graphs for side effect prediction
ashar799/stellargraph
StellarGraph - Machine Learning on Graphs
ashar799/twoDPAFT
A Dirichlet Process Model Version with two data sets