Edward-JianQAQ

AI-Paper-Collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

conditional-GAN

this is the pytorch version of Conditional Generative Adversarial Nets

DeepSets

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Edward-JianQAQ

Config files for my GitHub profile.

FastGCN_pytorch

an implementation of FastGCN with pytorch

GEER

For ssl

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

set_transformer

Pytorch implementation of set transformer

Edward-JianQAQ/conditional-GAN

this is the pytorch version of Conditional Generative Adversarial Nets

Edward-JianQAQ/DeepSets

Edward-JianQAQ/Edward-JianQAQ

Config files for my GitHub profile.

Edward-JianQAQ/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Edward-JianQAQ/set_transformer

Pytorch implementation of set transformer

Edward-JianQAQ/AI-Paper-Collector

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

Edward-JianQAQ/ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Edward-JianQAQ/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Edward-JianQAQ/FastGCN_pytorch

an implementation of FastGCN with pytorch

Edward-JianQAQ/GEER

For ssl

Edward-JianQAQ/my_website

Edward-JianQAQ/pytorch-pretrained-BERT

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Edward-JianQAQ/Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

Edward-JianQAQ/SetLearning

Edward-JianQAQ/sufrep

Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1