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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

pytorch-pretrained-bert

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

representation-learning-on-heterogeneous-graph

Representation-Learning-on-Heterogeneous-Graph

set_transformer

Pytorch implementation of set transformer

setlearning

sufrep

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