shoujiang

knockoff_nonconvex

Awesome-Multi-Task-Learning

A list of multi-task learning papers and projects.

BiFusion

ddlk

Deep direct likelihood knockoffs

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

DeepPurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Drug3D-Net

A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry

ElasticGNN

Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

flowselect

Repository of code used for experiments and plots in "Normalizing Flows for Knockoff-free Controlled Feature Selection".

GNNPapers

Must-read papers on graph neural networks (GNN)

grail

Inductive relation prediction by subgraph reasoning, ICML'20

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

GraphNeuralNetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

KGNN

Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"

MolRep

MolRep: A Deep Representation Learning Library for Molecular Property Prediction

MolTrans

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

MUFFIN

Multi-Label-Learning

pnet_prostate_paper

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery

Polypharmacy-side-effect-prediction

Polypharmacy Side effect Prediction with Enhanced Interpretability Based on Graph Feature Attention Net-work

Pruning

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019) and "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020).

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

ScholarWithCode

A simple chrome extension to present the number of available code implementions (via Papers With Code) for articles listed on Google Scholar.

split_knockoffs

SumGNN

This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)

tangjianpku.github.io

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

UnrolledAMP