shoujiang's repositories
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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".
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.
KGNN
Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"
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
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.
tangjianpku.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes