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awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-papers

Collect papers about graph

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

cd-lnlp

Datasets and Code for "Predicting CircRNA-disease Associations through Linear Neighborhood Label Propagation Method"

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs

company

deeplearning

深度学习相关教程

deeplearning-biology

A list of deep learning implementations in biology

distance-encoding

Distance Encoding for GNN Design

drug-combo-generator

Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding

drug-disease-datasets

face_recognition

The world's simplest facial recognition api for Python and the command line

gaemda

A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction

gan

Tooling for GANs in TensorFlow

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcnn-survey-paper

gnn-algorithms

图神经网络相关算法详述及实现

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

grlmf

Graph Regularized Logistic Matrix Factorization for MiRNA-disease Association Prediction

hgnn

Hypergraph Neural Networks (AAAI 2019)

home

humandiseaseontology

Repository for the Human Disease Ontology.

icfmda

A novel improved collaborative filtering-based miRNA-disease association prediction approach.

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

keras

Deep Learning for humans

keras-gan

Keras implementations of Generative Adversarial Networks.

lagcn

Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"