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goproformer

graph-transformer

Transformer for Graph Classification (Pytorch and Tensorflow)

graphcaps

graphsol

Code of our JC paper: "Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map"

gt2vec

hgcn

hgp-sl

Hierarchical Graph Pooling with Structure Learning

infograph

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

lanes-capsnet

Separable and resource efficient organization of Capsule Networks (CapsNet)

learngit

learngit-1

教程→ http://t.cn/zQ6LFwE 推送请使用UTF-8编码

localcapsulepoolingnetwork

a graph pooling of cluster selecting method using capsule network

lookhops

mams-for-absa

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

miccai_weakly_supervised_tutorial

Code for tutorial at MICCAI 2019

ms-capsnet

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

ontoprotein

Code and datasets for the ICLR2022 paper "OntoProtein: Protein Pretraining With Gene Ontology Embedding"

patchycapsules

pilot

进入编程世界的第一课

pilot-student

“进入编程世界的第一课” 的学习用书

proteinfolding

pytorch_dgcnn

PyTorch implementation of DGCNN

respre

ResPRE is an algorithm for protein residue-residue contact-map prediction

rethinking-pooling-in-gnns

sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

test_connection

train_eval_module

A Train_Eval_Module to operate 10-fold cross-validation on graph datasets.In the test_max mode, the test_dataset equals the val_dataset, the final test_acc is acc on the single epoch that has the best cross-validation accuracy averaged over the 10 folds.In the val_min mode, the val_dataset and test_dataset are different, and the test_acc is the acc on the epoch while the val_loss is the smallest for each folds.The final test_acc is the average of acc over 10 folds.

train_val_module_with_seed

This is a ten_fold_cross Train_Val_Test_Module with manually set seed.