Pinned Repositories
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
BiFusion
CBAM-keras
CBAM implementation on Keras
CBAM.PyTorch
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
DataMining
ddlk
Deep direct likelihood knockoffs
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
knockoff_nonconvex
Python
Data science
TCGA_Benchmark
TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome
shoujiang's Repositories
shoujiang/knockoff_nonconvex
shoujiang/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
shoujiang/BiFusion
shoujiang/ddlk
Deep direct likelihood knockoffs
shoujiang/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
shoujiang/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
shoujiang/DropEdge
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
shoujiang/Drug3D-Net
A Spatial-temporal Gated Attention Module for Molecular Property Prediction Based on Molecular Geometry
shoujiang/ElasticGNN
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
shoujiang/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
shoujiang/flowselect
Repository of code used for experiments and plots in "Normalizing Flows for Knockoff-free Controlled Feature Selection".
shoujiang/GNNPapers
Must-read papers on graph neural networks (GNN)
shoujiang/grail
Inductive relation prediction by subgraph reasoning, ICML'20
shoujiang/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
shoujiang/GraphNeuralNetwork
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
shoujiang/grover
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
shoujiang/KGNN
Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
shoujiang/MolRep
MolRep: A Deep Representation Learning Library for Molecular Property Prediction
shoujiang/MolTrans
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
shoujiang/MUFFIN
shoujiang/Multi-Label-Learning
shoujiang/pnet_prostate_paper
P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
shoujiang/Polypharmacy-side-effect-prediction
Polypharmacy Side effect Prediction with Enhanced Interpretability Based on Graph Feature Attention Net-work
shoujiang/Pruning
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019) and "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020).
shoujiang/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!
shoujiang/ScholarWithCode
A simple chrome extension to present the number of available code implementions (via Papers With Code) for articles listed on Google Scholar.
shoujiang/split_knockoffs
shoujiang/SumGNN
This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)
shoujiang/tangjianpku.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
shoujiang/UnrolledAMP