chenxiaowei123's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
chenghuige/wenzheng
ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch
levinit/CPS-OCR-Engine
An awesome OCR engine developed by SYSU DeepDriving Lab
zli2014/python--
总结-改进-汇总
xinntao/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
talorwu/Graph-Neural-Network-Review
yao8839836/text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
zake7749/Gossiping-Chinese-Corpus
PTT 八卦版問答中文語料
lcdevelop/ChatBotCourse
自己动手做聊天机器人教程
phanein/deepwalk
DeepWalk - Deep Learning for Graphs
muhanzhang/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".
xptree/DeepInf
DeepInf: Social Influence Prediction with Deep Learning
thunlp/OpenNE
An Open-Source Package for Network Embedding (NE)
alibaba/euler
A distributed graph deep learning framework.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
huangxiangzhou/NLPCC2016KBQA
KBQA based on the NLPCC2016 dataset, including reimplementation of NLPCC2016 best team`s QA.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
asheshjain399/RNNexp
open-mmlab/mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
VeritasYin/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
snap-stanford/GraphRNN
tadpole/DRNE
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
suanrong/SDNE
This is a implementation of SDNE (Structural Deep Network embedding)
ShelsonCao/DNGR
Source Code of DNGR
TrustAGI-Lab/ARGA
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
limaosen0/Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
divelab/lgcn