fangjuntao

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

GCOMB

MatBERT

A pretrained BERT model on materials science literature

GZHU_Fang_Course_Materials

广州大学方班课程&学习资源共享计划

sciguide

现代科研指北

Chinese-Reading-Notes-of-Graph-Learning

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

FunnelAct

DES

Cipher Project

des-python-cipher

DES 加密算法的 Python3 实现

DMFLDA2

It is a deep learning framework to enhance traditional matrix factorization methods for predicting lncRNA-disease associations by integrating linear and non-linear features.

LAGCN

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

SEAL

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

VGAE

Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, simplified and error-corrected.

Variational-Graph-Auto-Encoders

This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

GNE

This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"

MDA-CNN

this is the source code and data

gae

Implementation of Graph Auto-Encoders in TensorFlow

SKNet-PyTorch

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet