15235007059

15235007059's Stars

• Shen-Lab/GraphCL

  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  Language:Python566104

• hjm9702/reaction_yield_pretrained_gnn

  Source code for "Improving Chemical Reaction Yield Prediction Using Pre-Trained Graph Neural Networks"

  Language:Python146

• sunfanyunn/InfoGraph

  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

  Language:Python31444

• Lifoof/MoGCN

  Multi-omics integration method using AE and GCN

  Language:Python3312

• monkeystrive/RBF_regressor

  RBF回归预测模型—波士顿房价案例分析

  Language:Python175

• chenlabgccri/CancerTypePrediction

  This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".

  Language:Python4631

• duxuhao/Feature-Selection

  Features selector based on the self selected-algorithm, loss function and validation method

  Language:Python672200

• anjaly97/Feature-Selection-Methods-for-Cancer-Subtype-Classification

  Comparison study of different Feature selection methods for Cancer Subtype classification

  Language:Python2

• SomayahAlbaradei/MetaCancer

  Language:Python910

• dongkwan-kim/SuperGAT

  [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

  Language:Python15426

• luanshiyinyang/GNN

  Tutorial about Graph Convolutional Network(GCN)

  Language:Python9320

• Awni00/GNN-gene-disease-association

  Using graph neural networks for predicting gene-disease association in the human molecular interaction network.

  Language:Jupyter Notebook32

• RexYing/diffpool

  Language:Python485136

• gordicaleksa/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!

  Language:Jupyter Notebook2.5k333

• shekshaa/GCN_on_Gene_graphs

  Graph classification on fixed Gene graphs

  Language:Python12

• BrizziB/Graph-Classification-with-GCN

  A simple implementation of a portion of GCN (Kipf & Welling) that can handle graph classification.

  Language:Python4010

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.2k3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• albermax/innvestigate

  A toolbox to iNNvestigate neural networks' predictions!

  Language:Python1.3k233

• shibing624/pytextclassifier

  pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

  Language:Python50175

• DFKI-NLP/lrv

  Layerwise Relevance Visualization in Convolutional Text Graph Classifiers

  Language:Python122

• mdeff/cnn_graph

  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

  Language:Jupyter Notebook1.3k390

• wilkelab/Opfi

  A Python package for discovery, annotation, and analysis of gene clusters in genomics or metagenomics data sets.

  Language:Python215

• medema-group/bigslice

  A highly scalable, user-interactive tool for the large scale analysis of Biosynthetic Gene Clusters data

  Language:Python7639